Ai Ml Engineer H F Jobs

38 open positions found · Salary range: $12 - $496,800

View Senior AI/ML Full Stack Engineer
T

Senior AI/ML Full Stack Engineer

Are you an experienced Senior AI/ML Full Stack Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior AI/ML Full Stack Engineer to work in their company in New York, NY. Job Summary: Design, develop, and implement AI software solutions to address business needs. Assist the System Architect in the complete AI solution development and release lifecycle. Communicate with product managers, designers, data scientists, and other internal and external stakeholders to gather requirements. Help provide technical leadership to the software engineering team. Take direction from the System Architect and help lead the team through the software design, development, testing, and release cycle to deliver and support the final AI solutions on-prem or on cloud. Actively seek ways to improve the software development process and keep the team up to date on the latest software technologies and processes. Provide clear and accurate status reports to management and stakeholders as needed. Guide and coach members of the software engineering team. Responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications. Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring. Collaborate closely with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions. Required Skills: Strong Python programming and SQL experience. Hands-on experience building Generative AI or RAG-based applications. Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations. Experience with ML/NLP model development, evaluation, and performance monitoring. Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy. Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic. Experience with cloud platforms such as GCP, AWS, or OCI. Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines. Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred. Strong communication skills and ability to work with both technical and non-technical stakeholders. Education Requirements: Bachelor’s degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field. Master’s degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field. Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred.

3 months agovia universal intelligenceApply ›
View Frontend Engineer - AI/ML Platform Innovator
A

Frontend Engineer - AI/ML Platform Innovator

AndiamoSeattle, WA

Frontend Engineer – AI/ML Platform About The Role We are looking for a Frontend Engineer to help design and deliver exceptional user experiences for our AI/ML platform. You’ll work at the intersection of design, engineering, and machine learning, building modern interfaces that make complex AI workflows intuitive and accessible. Your work will directly shape how developers and enterprises around the world build, deploy, and scale AI in production. As a mid-level engineer, you’ll own key product features, contribute to architectural discussions, and collaborate closely with product managers, designers, and ML researchers. You’ll apply your skills in modern frameworks, performance optimization, and UX design to create tools that are both powerful and easy to use. This is an opportunity to grow your expertise in frontend engineering while contributing to one of the most exciting areas in technology: human-AI interaction. What You’ll Do Build Modern Web Applications: Develop responsive, accessible, and performant interfaces using React or similar frameworks. Deliver Features End-to-End: Take ownership of features from initial design to deployment, ensuring quality and usability. Improve Frontend Systems: Contribute to shared libraries, design systems, and tooling that accelerate development. Optimize for Quality \& Performance: Write clean, testable code and apply best practices in testing and CI/CD workflows. Collaborate Across Teams: Work with product managers, designers, and ML engineers to translate complex AI workflows into intuitive user experiences. Learn \& Grow: Stay current with emerging frontend technologies and build expertise in AI/ML platform tools and data visualization. What We’re Looking For Modern Frontend Skills: Proficiency in React, Angular, or Vue, with strong knowledge of JavaScript and TypeScript. Professional Experience: 5+ years building and shipping frontend applications at scale. Performance Mindset: Experience optimizing interfaces for speed, responsiveness, and accessibility. Collaboration: Ability to work closely with designers, backend engineers, and product teams to deliver impactful features. AI/ML Interest (Nice to Have): Familiarity with data visualization, model deployment workflows, or tools for ML/AI development. Growth Orientation: Eagerness to expand technical depth, contribute ideas, and take on increasing ownership. ✨ Why Join : You’ll play a hands-on role in building the interfaces that bring AI to life for thousands of organizations. This is your chance to work on meaningful, user-facing features in one of the most innovative fields in technology, while growing into the next stage of your engineering career. About Andiamo Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

3 months agovia universal intelligenceApply ›
View Senior AI/ML Full Stack Engineer
T

Senior AI/ML Full Stack Engineer

Are you an experienced Senior AI/ML Full Stack Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior AI/ML Full Stack Engineer to work in their company in New York, NY. Job Summary: Design, develop, and implement AI software solutions to address business needs. Assist the System Architect in the complete AI solution development and release lifecycle. Communicate with product managers, designers, data scientists, and other internal and external stakeholders to gather requirements. Help provide technical leadership to the software engineering team. Take direction from the System Architect and help lead the team through the software design, development, testing, and release cycle to deliver and support the final AI solutions on-prem or on cloud. Actively seek ways to improve the software development process and keep the team up to date on the latest software technologies and processes. Provide clear and accurate status reports to management and stakeholders as needed. Guide and coach members of the software engineering team. Responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications. Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring. Collaborate closely with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions. Required Skills: Strong Python programming and SQL experience. Hands-on experience building Generative AI or RAG-based applications. Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations. Experience with ML/NLP model development, evaluation, and performance monitoring. Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy. Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic. Experience with cloud platforms such as GCP, AWS, or OCI. Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines. Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred. Strong communication skills and ability to work with both technical and non-technical stakeholders. Education Requirements: Bachelor’s degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field. Master’s degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field. Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred.

3 months agovia universal intelligenceApply ›
View Frontend Engineer - AI/ML Platform Innovator
A

Frontend Engineer - AI/ML Platform Innovator

AndiamoSeattle, WA

Frontend Engineer – AI/ML Platform About The Role We are looking for a Frontend Engineer to help design and deliver exceptional user experiences for our AI/ML platform. You’ll work at the intersection of design, engineering, and machine learning, building modern interfaces that make complex AI workflows intuitive and accessible. Your work will directly shape how developers and enterprises around the world build, deploy, and scale AI in production. As a mid-level engineer, you’ll own key product features, contribute to architectural discussions, and collaborate closely with product managers, designers, and ML researchers. You’ll apply your skills in modern frameworks, performance optimization, and UX design to create tools that are both powerful and easy to use. This is an opportunity to grow your expertise in frontend engineering while contributing to one of the most exciting areas in technology: human-AI interaction. What You’ll Do Build Modern Web Applications: Develop responsive, accessible, and performant interfaces using React or similar frameworks. Deliver Features End-to-End: Take ownership of features from initial design to deployment, ensuring quality and usability. Improve Frontend Systems: Contribute to shared libraries, design systems, and tooling that accelerate development. Optimize for Quality \& Performance: Write clean, testable code and apply best practices in testing and CI/CD workflows. Collaborate Across Teams: Work with product managers, designers, and ML engineers to translate complex AI workflows into intuitive user experiences. Learn \& Grow: Stay current with emerging frontend technologies and build expertise in AI/ML platform tools and data visualization. What We’re Looking For Modern Frontend Skills: Proficiency in React, Angular, or Vue, with strong knowledge of JavaScript and TypeScript. Professional Experience: 5+ years building and shipping frontend applications at scale. Performance Mindset: Experience optimizing interfaces for speed, responsiveness, and accessibility. Collaboration: Ability to work closely with designers, backend engineers, and product teams to deliver impactful features. AI/ML Interest (Nice to Have): Familiarity with data visualization, model deployment workflows, or tools for ML/AI development. Growth Orientation: Eagerness to expand technical depth, contribute ideas, and take on increasing ownership. ✨ Why Join : You’ll play a hands-on role in building the interfaces that bring AI to life for thousands of organizations. This is your chance to work on meaningful, user-facing features in one of the most innovative fields in technology, while growing into the next stage of your engineering career. About Andiamo Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

3 months agovia universal intelligenceApply ›
View Frontend Engineer - AI/ML Platform Innovator
A

Frontend Engineer - AI/ML Platform Innovator

AndiamoSeattle, WA

Frontend Engineer – AI/ML Platform About The Role We are looking for a Frontend Engineer to help design and deliver exceptional user experiences for our AI/ML platform. You’ll work at the intersection of design, engineering, and machine learning, building modern interfaces that make complex AI workflows intuitive and accessible. Your work will directly shape how developers and enterprises around the world build, deploy, and scale AI in production. As a mid-level engineer, you’ll own key product features, contribute to architectural discussions, and collaborate closely with product managers, designers, and ML researchers. You’ll apply your skills in modern frameworks, performance optimization, and UX design to create tools that are both powerful and easy to use. This is an opportunity to grow your expertise in frontend engineering while contributing to one of the most exciting areas in technology: human-AI interaction. What You’ll Do Build Modern Web Applications: Develop responsive, accessible, and performant interfaces using React or similar frameworks. Deliver Features End-to-End: Take ownership of features from initial design to deployment, ensuring quality and usability. Improve Frontend Systems: Contribute to shared libraries, design systems, and tooling that accelerate development. Optimize for Quality \& Performance: Write clean, testable code and apply best practices in testing and CI/CD workflows. Collaborate Across Teams: Work with product managers, designers, and ML engineers to translate complex AI workflows into intuitive user experiences. Learn \& Grow: Stay current with emerging frontend technologies and build expertise in AI/ML platform tools and data visualization. What We’re Looking For Modern Frontend Skills: Proficiency in React, Angular, or Vue, with strong knowledge of JavaScript and TypeScript. Professional Experience: 5+ years building and shipping frontend applications at scale. Performance Mindset: Experience optimizing interfaces for speed, responsiveness, and accessibility. Collaboration: Ability to work closely with designers, backend engineers, and product teams to deliver impactful features. AI/ML Interest (Nice to Have): Familiarity with data visualization, model deployment workflows, or tools for ML/AI development. Growth Orientation: Eagerness to expand technical depth, contribute ideas, and take on increasing ownership. ✨ Why Join : You’ll play a hands-on role in building the interfaces that bring AI to life for thousands of organizations. This is your chance to work on meaningful, user-facing features in one of the most innovative fields in technology, while growing into the next stage of your engineering career. About Andiamo Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

3 months agovia universal intelligenceApply ›
View Identity AI / ML Engineer
O

Identity AI / ML Engineer

OpenkyberIN, US

Title :- Python Developer {AI/ML \& Data Engineering experience needed.} Location :- Columbus - OH, 05 Days On-Site Target Start Date / Urgency to Fill Role :- As early as possible . Work Arrangement: Fully On-Site from day one. Candidate Preference: Local candidates preferred. Duration :- Contract (Minimum 06+ Months) Jr. Role :- Foundational experience in AI/ML and data engineering. Candidate will support data pipelines, assist in ML model development, and work closely with senior engineers to deliver scalable data-driven solutions. Sr. Role :- Strong experience in AI/ML and data engineering to design, build, and optimize scalable data platforms and machine learning solutions. Lead Role :- Lead Python Developer to drive AI/ML and data engineering initiatives, lead technical teams, and architect enterprise-scale data and machine learning platforms. Junior Role Senior Role Lead Role Responsibilities Develop and maintain Python-based applications and data pipelines. Assist in building and training ML models under guidance. Work with structured and unstructured data sources. Perform data cleaning, transformation, and validation. Support ETL processes and basic cloud deployments. Collaborate with cross-functional teams (Data, AI, Product). Design and develop scalable Python applications and data pipelines. Build, train, and deploy ML models in production environments. Optimize data workflows for performance and reliability. Work with big data technologies and distributed systems. Collaborate with data scientists and architects on solution design. Ensure code quality, security, and best practices. Lead end-to-end design and delivery of AI/ML and data engineering solutions. Architect scalable, secure, and high-performance data platforms. Guide and mentor junior and senior developers. Define best practices, coding standards, and architecture guidelines. Work closely with stakeholders to translate business requirements into technical solutions. Oversee ML model lifecycle, deployment, and monitoring. Required Skills Strong Python programming fundamentals. Basic understanding of ML concepts (regression, classification, clustering). Experience with Pandas, NumPy, Scikit-learn. Knowledge of SQL and databases Exposure to ETL tools or data pipelines. Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform basic). Advanced Python development experience. Strong hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch). Data engineering experience using Spark/PySpark. Strong SQL and NoSQL database knowledge. Experience with ETL/ELT pipelines. Hands-on cloud experience (AWS, Azure, or Google Cloud Platform). CI/CD and version control (Git). Expert-level Python development. Strong architecture experience in AI/ML systems. Deep data engineering expertise (Spark, PySpark, Hadoop, Kafka). Production ML deployment and MLOps experience. Strong cloud architecture experience (AWS/Azure/Google Cloud Platform). Experience leading teams and technical decision-making. Nice to Have Exposure to PySpark or Spark. Basic knowledge of TensorFlow or PyTorch. Understanding of REST APIs and Git. Experience with MLOps tools (MLflow, Kubeflow, SageMaker). Knowledge of Kafka or real-time data streaming. Exposure to containerization (Docker, Kubernetes). Experience with GenAI, LLMs, and vector databases. Exposure to Snowflake, Databricks, or BigQuery. * Strong communication and stakeholder management skills. For applications and inquiries, contact: hirings@openkyber.com

recentlyvia universal intelligenceApply ›
View Junior AI/ML Engineer
E

Junior AI/ML Engineer

Ensora HealthAtlanta, GA, US

From $200,000/yr

Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community. Job Description We are looking for an experienced and forward‑thinking Machine Learning Engineer / AI Engineer to join our platform team. In this role, you will design, develop, and deploy AI applications powered by Large Language Models (LLMs), intelligent agents, deep learning architectures, and data‑driven analytics. You will help shape next‑generation multimodal and autonomous AI capabilities that transform complex challenges into innovative solutions for mental health care providers.### What You’ll Do Architect, build, and maintain scalable AI applications using Python and modern ML frameworks. Design multi‑step LLM‑powered workflows and autonomous agent systems using orchestration frameworks such as LangChain, LlamaIndex, CrewAI, and Semantic Kernel. Implement AI agents capable of reasoning, planning, and executing tasks independently. Develop and optimize deep learning models using PyTorch, TensorFlow, or Keras, including feature engineering and fine‑tuning. Analyze complex datasets, extract insights, and build compelling visualizations for stakeholders. Integrate AI models and agentic systems into existing data pipelines, APIs, and platform infrastructure. Design and optimize SQL and PostgreSQL data storage for AI workflows. Collaborate with product managers, engineers, and data scientists to deliver high‑impact AI features. Stay current with advancements in LLMs, multimodal models, and emerging agent architectures. ### What You Bring Bachelor’s degree in Computer Science, Engineering, AI, or related field. 3+ years of software development experience with strong Python proficiency. Hands‑on experience with LLMs (GPT, Llama, Claude, Gemini) via APIs or open‑source implementations. Experience with vector databases such as Pinecone, Weaviate, or ChromaDB. Expertise using orchestration frameworks like LangChain or LlamaIndex. Strong understanding of agent architectures and reasoning frameworks (e.g., ReAct). Practical experience training ML/DL models using PyTorch, TensorFlow, or Keras. Strong data analysis and visualization capabilities. Proficiency in SQL and PostgreSQL. Familiarity with Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar cloud AI services. Strong problem‑solving mindset and passion for building advanced intelligent systems. Preferred Experience with MLOps tools and practices. Skills in model tuning, quantization, or optimization for deployment. Exposure to microservices, Kubernetes, or GitOps. Contributions to open‑source projects. Additional Information -------------------------- While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! All your information will be kept confidential according to EEO guidelines. At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do. We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. Ensora Health is an equal opportunity employer.

recentlyvia universal intelligenceApply ›
View AI/ML Engineering Manager, Payment Intelligence
S

AI/ML Engineering Manager, Payment Intelligence

StripeUS-SF, US-NYC, US-SEA

$331,200 - $496,800/yr

Who we are About Stripe Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scala

7 months agovia universal intelligenceApply ›
View AI/ML Engineering Manager, Payment Intelligence
S

AI/ML Engineering Manager, Payment Intelligence

StripeUS-SF, US-NYC, US-SEA

$331,200 - $496,800/yr

Who we are About Stripe Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scala

7 months agovia universal intelligenceApply ›
View Senior Machine Learning Engineer, AI/ML Platform
B

Senior Machine Learning Engineer, AI/ML Platform

BlockBay Area, CA, United States of America

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

7 months agovia universal intelligenceApply ›
View Senior Machine Learning Engineer, AI/ML Platform
B

Senior Machine Learning Engineer, AI/ML Platform

BlockBay Area, CA, United States of America

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

7 months agovia universal intelligenceApply ›
View Senior Software Engineer (Backend) - AI/ML Environments
D

Senior Software Engineer (Backend) - AI/ML Environments

DatabricksMountain View, California

$166,000 - $220,000/yr

P-78 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges,

7 months agovia universal intelligenceApply ›
View Machine Learning Engineer, Risk AI/ML
C

Machine Learning Engineer, Risk AI/ML

CoinbaseRemote - Canadaremote

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

7 months agovia universal intelligenceApply ›
View Senior Engineering Manager - AI / ML
A

Senior Engineering Manager - AI / ML

adMarketplaceNew York, NY, USonsite

From $401,000/yr

Who We Are At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately. Today, millions of people worldwide engage with our exclusive, transparent media placements across the internet’s leading browsers, shopping apps, and review sites. Our award-winning culture is built around five core values (known as our 5C’s): Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. With these guiding values, adMarketplace seeks to empower our team to reach their full potential through continued learning, and the opportunity to do their best work. The Role We are seeking an accomplished AI/ML leader with a proven track record of building and scaling high-performing machine learning teams. You will report directly to the SVP of Engineering \& AI and play a pivotal role in shaping our machine learning strategy and guiding the development \& deployment of innovative models that drive significant improvements to our ad serving platform and consumer-facing search products. This is a hands-on leadership position that requires both deep technical expertise and exceptional people management skills. Responsibilities * Recruit, develop, and retain top machine learning talent. Promote a collaborative and inclusive environment that encourages innovation and experimentation. Provide technical guidance and mentorship to team members, empowering them to reach their full potential. * Define and execute a comprehensive machine learning strategy aligned with our overall business goals. Stay ahead of industry trends and identify opportunities to leverage emerging technologies to gain a competitive advantage. * Oversee a portfolio of machine learning projects, ensuring alignment with strategic priorities, effective resource allocation, and timely delivery of high-quality solutions. * Build strong partnerships with product, business and other engineering teams to ensure seamless integration of AI/ML models into existing systems and workflows. Advocate for the value of machine learning across the organization. * Maintain a deep understanding of the technical landscape and ensure the team is using the latest tools, techniques, and best practices in machine learning. Actively participate in architecting solutions, providing hands-on technical guidance, and contributing code when necessary. * Represent the team in internal and external forums, sharing insights and best practices in machine learning. Contribute to the broader AI/ML community through publications, presentations, or open-source contributions. Basic Qualifications * A PhD or MS in Computer Science or a closely related field, ideally with an emphasis on machine learning. * 7+ years of industry experience with 5+ years of experience building machine learning models and deploying them in production. * 3+ years of demonstrated success building, leading, and growing high-performing teams in a fast-paced environment. * Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with a wide range of ML tools and frameworks, especially in cloud-based environments. * Deep understanding of GenAI tools and techniques. Proven ability to build GenAI products and leverage GenAI to improve the team’s productivity. * Demonstrated expertise in building and deploying ML models in one or more relevant domains, such as ads, relevance, ranking, recommendation systems, or search. * Proven ability to write production-level code and architect complex AI/ML systems. Preferred Qualifications * Track record of presenting at industry conferences, publishing research papers, or contributing to open-source AI/ML projects. * Experience starting or leading new AI/ML initiatives within an organization, demonstrating the ability to identify and capitalize on opportunities. * Proven track record of developing and mentoring others, and helping individuals grow their technical and leadership skills. Join Us adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team! We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either. We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance. No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.

7 months agovia universal intelligenceApply ›
View Semantic AI/ML Engineer
L

Semantic AI/ML Engineer

LuxoftRemote, GBremote

Project description We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context. ##### Responsibilities Ontology Design \& Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge. Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability. Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data. Validation Rules \& Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems. Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly. Collaboration \& Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation. Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows). Standards \& Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise. ##### Skills Must have Ontology Design \& Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar). Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data. Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting. Data Modelling \& Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology. Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar) Nice to have Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance. Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms. Tools \& Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial. ##### Other Languages English: C1 Advanced Seniority Senior Remote United Kingdom, United Kingdom of Great Britain and Northern Ireland Req. VR-119923 AI/ML BCM Industry 05/02/2026 Req. VR-119923

recentlyvia universal intelligenceApply ›
View Sr. ML/Edge AI Firmware Engineer
S

Sr. ML/Edge AI Firmware Engineer

Samsararemote (US)remote

From $40/yr

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an

embedded software developmentGolang, C/C++ programming
recentlyvia universal intelligenceApply ›
View Senior Software Engineer (MLOps) – Training & Registry
D

Senior Software Engineer (MLOps) – Training & Registry

DatadogParis, France; Sophia Antipolis, France

At Datadog, we are building a next-generation AI platform that enables seamless training, tracking, and deployment of ML and LLM models at scale. The Training & Registry team is responsible for the infrastructure and tooling that allows applied scientists to iterate rapidly and reliably—managing training jobs, tracking experimentation, and versioning model artifacts across distributed systems. Our work is foundational to AI development at Datadog, powering everything from classic M

7 months agovia universal intelligenceApply ›
View Senior Software Engineer, ML Infrastructure - Training
A

Senior Software Engineer, ML Infrastructure - Training

AirbnbUnited States

From $12/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.<span style="fo

7 months agovia universal intelligenceApply ›
View Lead/Vice President Python AI/ML Engineers
K

Lead/Vice President Python AI/ML Engineers

Kforce's clientWilmington, Delaware

Wilmington, Delaware • Yesterday RESPONSIBILITIES: Kforce's client in Wilmington, DE is hiring multiple Lead/Vice President Python AI/ML Engineers where you will play a crucial role in an Agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products that are secure, stable, and scalable. Key Tasks: Provide direction, oversight, and coaching for a team of entry-level to mid-level engineers working on basic to moderately complex tasks Executes solutions, design, development, and tech Contract $65 - $75 hourly

PythonAI/ML
recentlyvia universal intelligenceApply ›
View AI/ML Engineer / Solution Designer – Toronto - Hybrid
C

AI/ML Engineer / Solution Designer – Toronto - Hybrid

CapcoCanada - Torontohybrid

AI/ML Engineer / Solution Designer – Toronto - Hybrid Capco – The Future. Now. Capco is a distinctly and positively different place to work. Much more than consultants, we are active participants in the global financial services industry. Our passionate business and technology professionals enjoy a unique environment where they are actively encouraged to apply intellect, innovation, experience and teamwork. We ware dedicated to ful

7 months agovia universal intelligenceApply ›
View AI/ML Engineering Manager, Payment Intelligence
S

AI/ML Engineering Manager, Payment Intelligence

StripeUS-SF, US-NYC, US-SEA

Who we are About Stripe Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scala

7 months agovia universal intelligenceApply ›
View AI/ML Engineer (H/F)
I

AI/ML Engineer (H/F)

Ippon TechnologiesNantesonsite

AI/ML Engineer (H/F) Nantes Data Practice – Data Engineering / FRA_Plein Temps France / On-site À propos d'Ippon Technologies Depuis 2002, Ippon Technologies est à la pointe du conseil et de l'expertise technique. Spécialisés dans le développement logiciel et mobile, la data, l'IA, le cloud, ainsi que l'architecture et la stratégie IT, nous sommes fier·e·s de compter plus de 700 collaborateur·trice·s passionné·e·s à travers le monde. Notre mission : accompagner nos clients dans leur transformation digitale avec excellence technique, collaboration et esprit sportif, pour innover et dépasser les attentes. Cette culture du challenge et du dépassement se reflète autant dans nos missions que dans notre programme de formation, BlackBelt, inspiré des grades du judo et conçu pour faire progresser nos consultants étape par étape jusqu'à l’expertise. Rejoins notre Champions League Data - IA Notre équipe Data rassemble 75 expert·e·s, dont 10 consultant·e·s en IA, engagé·e·s dans la création, le d

Cloud public: AWS, GCP, AzureServices et plateformes AI/...MLOps: MLflow, KubeflowOrchestration: Airflow, MWA...CI/CD: GitLab, Terraform+4 more
recentlyvia universal intelligenceApply ›
View Machine Learning Engineer, Risk AI/ML
C

Machine Learning Engineer, Risk AI/ML

CoinbaseRemote - Canadaremote

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

7 months agovia universal intelligenceApply ›
View Engineering Manager II, Ads ML Training Infrastructure
P

Engineering Manager II, Ads ML Training Infrastructure

PinterestSan Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate

7 months agovia universal intelligenceApply ›
View Senior AI/ML Engineer
O

Senior AI/ML Engineer

OptumRx CPS team (part of Optum)Remote from anywhere within the U.S., with a requirement to work in the office a minimum of four days per week for those in Minneapolis or Washington, D.C. arearemote

$89,900 - $160,600/yr

Design, develop, and deploy machine learning models and algorithms, collaborate with teams to integrate AI solutions, and mentor junior engineers. Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. OptumRx CPS team is seeking a Senior AI/ML Engineer to drive the design, development, and deployment of advanced machine learning solutions powering our CPS Optimizer application. As one of the nation's largest providers of pharmacy services to over 800 hospitals and

Machine learning models and...Collaboration with teams
recentlyvia universal intelligenceApply ›
View Mid Data Analytics - Python + AI/ML Engineer
C

Mid Data Analytics - Python + AI/ML Engineer

CapcoIndia - Bengaluru

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. </stron

7 months agovia universal intelligenceApply ›
View AI/ML Engineer
C

AI/ML Engineer

$130,000 - $270,000/yr

Artificial Intelligence Machine Learning Engineer 2 Build to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is looking for a mid level AI/ML engineer who will be responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges Responsibilities - Select appropriate data sets - Perform statistical analysis - Run machine learning algorithms - Use results to improve models - Train and retrain systems when needed - Experience in working with various ML libraries and packages - Run standard test and evaluation protocols - Provide system integration oversight - Oversee Test and evaluation

software engineeringAI/ML model test and evalua...
recentlyvia universal intelligenceApply ›
View Senior Machine Learning Engineer, AI/ML Platform
B

Senior Machine Learning Engineer, AI/ML Platform

BlockBay Area, CA, United States of America

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

7 months agovia universal intelligenceApply ›
View Senior Software Engineer (Backend) - AI/ML Environments
D

Senior Software Engineer (Backend) - AI/ML Environments

DatabricksMountain View, California

P-78 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges,

7 months agovia universal intelligenceApply ›
View AI/ML Engineer
C

AI/ML Engineer

Back to jobs AI/ML Engineer Bulgaria Project Description Join a dynamic Coherent Solution team focused on expanding Generative AI and Computer Vision capabilities. You’ll contribute to technical sales support, architecture design, and proof-of-concept development. Technologies - Python - Git - CI/CD practices for ML pipelines - AWS/Azure - PyTorch, TensorFlow - Generative AI & NLP - Vector Databases - YOLO, SSD - SAM2 - Prometheus - Grafana - DataDog What You'll Do - Work on the design, development, and deployment of scalable ML services; - Architect and implement AI/ML solutions, ensuring model quality, governance, and security; - Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP); - Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements; - Mentor and guide junior engineers, promoting best practices in ML engineering; - Develop and maintain documentation, ML models, and technical standards; - M

PythonGitCI/CD practices for ML pipe...AWS/AzurePyTorch, TensorFlow+7 more
recentlyvia universal intelligenceApply ›
View AI/ML Engineer (H/F)

AI/ML Engineer (H/F)

Nantesremote

Location type All On-site Hybrid Remote Nantes All Atlanta, GA Bordeaux Charlotte, NC France Lille Lyon Marseille Melbourne Nantes New York, NY Paris Richmond, VA Toulouse Tours Washington, D.C. Data Practice – Data Engineering All Cloud/DevOps Practice Cloud/DevOps Customer Success Practice Project Management Data Practice Data Engineering Full-Stack Practice Full-Stack Engineer Modern Architecture Practice Modern Architecture Practice Sales & Operations Sales Software Engineering Practice Software Engineering Other teams Candidature spontanée FRAPlein Temps France All AUSFull Time AUS (4 weeks off) FRAPlein Temps France Plein temps stage (pas de vacances) USAFull Time USA (4 weeks off) Uncategorized Data Practice Data Engineering Apply AI/ML Engineer (H/F) On-site — FRAPlein Temps France Nantes Apply Architecte Data (H/F) On-site — FRAPlein Temps France Nantes

recentlyvia universal intelligenceApply ›
View Senior Software Engineer II - AI/ML
A

Senior Software Engineer II - AI/ML

AledadeRemote, United Statesremote

Senior Software Engineer II - AI/ML Remote, United States Technology – Engineering / Full Time / Remote As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value. Primary Duties: - Develop and implement scalable and performant solutions. - Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. - Mentor and coach more junior engineers including thorough

recentlyvia universal intelligenceApply ›
View AI/ML Engineer II- Intelligence Accelerator
O

AI/ML Engineer II- Intelligence Accelerator

OktaToronto, Ontario, Canada

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

7 months agovia universal intelligenceApply ›
View AI/ML Engineer / Solution Designer – Toronto - Hybrid
C

AI/ML Engineer / Solution Designer – Toronto - Hybrid

CapcoCanada - Torontohybrid

AI/ML Engineer / Solution Designer – Toronto - Hybrid Capco – The Future. Now. Capco is a distinctly and positively different place to work. Much more than consultants, we are active participants in the global financial services industry. Our passionate business and technology professionals enjoy a unique environment where they are actively encouraged to apply intellect, innovation, experience and teamwork. We ware dedicated to ful

7 months agovia universal intelligenceApply ›
View AI/ML Engineer (Python)
E

AI/ML Engineer (Python)

EUROPEAN DYNAMICSWien, Österreichonsite

We currently have a vacancy for an AI/ML Engineer (Python) fluent in English, to offer his/her services as an expert who will be based in Vienna , Austria . The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Your tasks Development of AI/ML models; AI solution analy…

Jul 2, 2025via adzunaApply ›

Companies hiring for Ai Ml Engineer H F

Ai Ml Engineer H F Salary Data

View detailed salary ranges from 9 listings with reported compensation ›

Track these jobs with Jobfu

Get AI-powered resume tailoring, application tracking, and job alerts for Ai Ml Engineer H F roles. Sign up free.

Sign up free
Ai Ml Engineer H F Jobs | Jobfu