Machine Learning Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title:Machine Learning Engineer
Location(s):Pleasanton CA.


Key Responsibilities:

• Design build and maintain end-to-end MLOps pipelines for data prep training validation packaging and deployment.
• Develop FastAPI microservices for model inference with clear API contracts versioning and documentation.
• Define and implement deployment strategies on AKS (blue/green canary shadow; champion/challenger) using GitOps with Argo CD.
• Architect and evolve a self-serve MLOps platform (standards templates CLI/scaffolds) enabling repeatable secure model delivery.
• Operationalize scikit-learn and other frameworks (e.g. PyTorch XGBoost) for low-latency scalable serving.
• Implement CI/CD for ML (test security scan build package promote) using GitHub Enterprise and related tooling.
• Integrate telemetry and observability (logging metrics tracing) and establish SLOs for model services.
• Monitor model and data drift; automate retraining evaluation and safe rollout/rollback workflows.
• Collaborate with software engineers to integrate ML services into client applications and shared platforms.
• Champion best practices for code quality reproducibility and governance (model registry artifacts approvals).

• Strong Python engineering skills and production experience building services with FastAPI.
• Proven MLOps experience: packaging serving scaling and maintaining models as APIs.
• Hands-on CI/CD for ML (GitHub Enterprise or similar) including automated testing and release pipelines.
• Containerization and orchestration expertise (Docker Kubernetes) with production deployments on AKS.
• GitOps experience with Argo CD; practical knowledge of deployment strategies (blue/green canary rollback).
• Solid understanding of RESTful API design microservices patterns and API contract governance.
• Experience designing or contributing to an MLOps platform (standards templates tooling) for repeatable delivery.
• Ability to work cross-functionally with data scientists software and platform/SRE teams.

• Minimum 2 years related experience.
• Experience with ML lifecycle tools (MLflow or similar for tracking/registry) and feature stores.
• Exposure to Databricks and enterprise data/compute environments.
• Cloud experience on Azure (preferred) plus GCP familiarity and managed ML services.
• Familiarity with Agile practices; experience with Helm/Kustomize secrets management and security scanning.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.