Machine Learning Engineer

AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure). Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. Monitor model performance using observability tools and ensure compl

No sub contracting, No C2C, No sponsorship, Direct Local W/2's only please 3 days onsite required, so be local for this 4 months w/2 contract for the following need: Data Scientist II Hybrid- M, Tues, Wed in-office 8am-5pm (flexibility needed)Interview process: In-person- 2 hrs & 15 mins l HackerRank (SQL & Python), technical ( ML techniques and AI solution design) interview / follow up interview (same day)OverviewWe are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML ini

Job Title: AI/ML Engineer Duration: 12 months Location: San Francisco Bay Area, CA, Columbus, Ohio & Atlanta, GA. Need 12 years profiles Job Description : We are looking for an AI/ML Engineer to build and deploy scalable AI systems and LLM-powered applications. Responsibilities Build AI/ML systems and APIs using Python and FastAPI Develop LLM applications using LangChain (and LangGraph preferred) Design ML/data pipelines on Google Cloud Platform (Vertex AI, BigQuery, Pub/Sub

Only local San Francisco Bay Area candidates! Direct W2 contractors only! No 3rd party agencies! Hybrid contract: 3 days onsite and 2 days remote in South San Francisco. No Relocation possible. We don't sponsor any kind of Visa! As a Lead Data Engineer, you will act as a hands-on technical leader- designing and building data solutions while guiding engineering best practices across the team. This is a player-coach role, where you will actively contribute to development while mentoring others and