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Senior Machine Learning Developer
About the Role Join a product and platform team building conversational AI for phone and SMS interactions. You will take machine learning and LLM features from prototype through production, helping voice agents respond…
Principal Developer (AI Safety) Remote From Anywhere In CO
Full-stack principal developer on Colorado's Governor's Office of IT AI team, building RAIL — the state's LLM guardrails platform for data masking, AI safety/bias testing, and benchmarking — plus AI access-provisioning and procurement-risk tools. Cloud stack includes AWS, GCP, Snowflake, and Azure DevOps; term-limited (~3 years).
Senior AI/ML Engineer
Position Overview The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This role combines…
AI/ML Engineering Lead
Leads one or more AI/ML prototyping teams delivering GenAI pilots (including Google Gemini-based solutions) for a U.S. Customs and Border Protection program, acting as the primary technical contact for government stakeholders. Day-to-day: set GenAI technical direction (RAG, agents, evaluation), run code/design reviews and Agile delivery, and mentor engineers. Mostly remote with ~1 day/week on-site
AI/ML Engineer (Mid-Level)
Mid-level AI/ML engineer at a small federal subcontractor builds GenAI features — RAG pipelines, prompt-driven workflows, and LLM API integrations — for a mission-critical DHS/CBP program. Hybrid (~1 day/week on-site in Ashburn, VA); core stack is Python plus JavaScript/TypeScript or Java with SQL/NoSQL. Requires U.S. citizenship and a DHS/CBP Public Trust.
Senior AI/ML Engineer
Senior AI/ML Engineer building GenAI features (RAG, tool calling, agents) on Google Gemini for a federal CBP program, and integrating them into full-stack apps from Angular front ends to back-end services, APIs, and databases. Hybrid role based in Ashburn, VA; U.S. citizenship required.
Senior ML/AI Engineer
Senior ML/AI Engineer at a healthcare startup building the ML/AI systems and real-time decision platform that guide specialty care for joint, back, and muscle conditions. Day to day: taking predictive and GenAI models from prototype to production on Databricks and AWS — deployment, retraining, monitoring, and streaming integrations.
Staff Software Engineer - AI/ML Platform
Staff engineer owning the architecture and hands-on delivery of Fanatics' internal AI platform: the LLM gateway, agent/MCP runtime, retrieval layer, evaluation loops, and governance/cost controls. Core stack is Python/FastAPI on AWS (Bedrock), Kubernetes/Terraform, and petabyte-scale data infrastructure.
Sr. Applied Machine Learning Engineer
Senior applied ML engineer at Plug, an automotive fintech startup running a used-EV marketplace, building and running production models for instant offers, pricing/volume forecasting and battery state-of-health, plus LLM pipelines for document data extraction. Python, PyTorch/XGBoost, SQL, Snowflake/dbt; onsite in LA.
App Production Support with AI/ML, GCP and Python Automation
Application production support / SRE role at Mphasis in Hyderabad (hybrid): monitoring and maintaining applications, supporting an AI/ML platform, running GCP cloud operations, and building Python automation. Open to candidates with 6+ years of experience.
ANALISTA DE MACHINE LEARNING PL
UMA EMPRESA BRASILEIRA, FEITA DE TALENTOS, PAIXÃO, MUITO ENTUSIASMO E DESAFIOS! Oi, somos o Banco BBC Digital ! Somos um banco que entende as pessoas, as empresas e os profissionais do transporte. O Banco BBC Digital é…
(Senior) Engineer Machine Learning / AI (w/m/d)
Machine learning/AI engineer (senior track) on HUK-COBURG's agile Data Analytics team, building models that turn data into value for 13+ million customers of Germany's leading car insurer. Role is based in Germany.
AI/ML Engineer
Build and deploy AI/ML models that personalize banking experiences for millions of users using financial and behavioral data, working with transformers and deep learning in a hybrid fintech environment.
Senior Software Engineer, Machine Learning Platform
Senior engineer on Chime's Machine Learning Platform team, designing and operating scalable ML/AI infrastructure on AWS — model training, feature stores, real-time inference, LLM access, and agentic orchestration. Core stack: Python/Go/Scala/Java, Spark/Ray, Terraform, Kubernetes, and streaming tools like Kafka and Flink.
Tech Lead Manager, Machine Learning, Growth and Marketing
Leads a team of data scientists and ML engineers at Chime building growth and marketing models — LTV prediction, churn risk, segmentation, attribution, and referrals — to drive customer acquisition and retention. Hands-on work with Python, SQL, and a modern ML/data stack (AWS, Kafka, Airflow, Spark, Snowflake).
Staff AI/ML Engineer
Staff AI/ML Engineer on Chime's Lending and Cashflow team, building and deploying deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions for products like MyPay, Instant Loans, and SpotMe. Day to day: owning models end to end (training, evaluation, deployment, monitoring) plus feature pipelines and real-time inference, using Pytho
Machine Learning Engineer
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
Remote Senior ML Engineer — AI Models & Data Workflows
Senior machine-learning engineer at Talantir who designs, trains and deploys ML models tackling NLP, computer vision or recommendation-system challenges, collaborating with product and engineering. Core stack: Python with TensorFlow/PyTorch/Scikit-learn plus big-data experience with Spark/Hadoop.
Engineering Manager, AI/ML Platforms & Products
Engineering Manager for Xero's Machine Learning & AI team in Sydney, leading a group of engineers who build and run AI-powered experiences across Xero — spanning ML models, automation, and agentic AI — with a focus on engineering quality, reliability, and scalable production systems.