MLOPS Engineer

Concord, CA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

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 projects
Familiarity 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

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). Implem...