Job Role : MLOPS Engineer
Job Location : Concord CA (100% Onsite)
Job Type : Contract
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. 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
Qualifications :
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).Hands on experience delivering 3-4 end to end Production projectsFamiliarity with data engineering tools (e.g. Airflow Spark) and ML Ops frameworks.Solid understanding of software engineering principles and DevOps practices.Good communication skills and able to manage stakeholders.Thanks & Regards
Akhil
Key Skills
ASP.NET,Health Education,Fashion Designing,Fiber,Investigation
Employment Type : Full Time
Experience : years
Vacancy : 1