KAnand Corporation ยท 3 days ago
W2 Only : ML Ops Senior Engineer : Concord, CA, SFO Bay Area- Onsite Day 1
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., 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
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
Qualification
Required
10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations
Strong proficiency in Java and 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
KAnand Corporation
Founded in year 2004, KAnand is a Business and IT Services Organization that delivers Application and Business Process Services to help clients reduce costs, enhance organizational flexibility, and improve their business and IT performance.