Ampstek ยท 18 hours ago
Contract on W2 :: Data Science & ML Ops Engineer
San Francisco Bay Area
Contract
Hybrid
Mid LevelAmpstek is seeking a hybrid Data Science & ML Ops Engineer to drive the full lifecycle of machine learning solutions. The role involves developing predictive models, maintaining ML pipelines, and automating deployment processes in cloud environments.
IT Management
Hiring Manager
David Wilfred
Responsibilities
Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
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., GCP, AWS, Azure)
Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining
Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Qualification
Required
Strong experience in understanding of Google/Azure and Spark/Python and MLOPs in general
Candidate who has played both data scientist and ML engineer role will be ideal
Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Experience with cloud platforms and containerization (Docker, Kubernetes)
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks
Solid understanding of software engineering principles and DevOps practices
Ability to communicate complex technical concepts to non-technical stakeholders
Company
Ampstek
Ampstek supplies thousands of tech and digital professionals annually to a range of clients through its offices which spread across in 42 countries.
Founded in 2003
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Rekha Pathy
CEO
Company data provided by crunchbase