MLOps Engineer (4+ Years)

Job Title: MLOps Engineer

Company: Willware Technologies

Experience: 45 Years

Location: Remote

Notice: Immediate to 15 days, Serving Notice

Role Overview:

We need an MLOps Engineer to build the backbone of our ML initiatives. You will be responsible for automating our ML lifecycle, ensuring that the models built by the data scientists are deployed, monitored, and retrained automatically using Google Cloud's Vertex AI.

Key Responsibilities:

Pipeline Automation: Build and maintain automated CI/CD pipelines for Machine Learning workflows.

Vertex AI Setup: Architect and manage the ML infrastructure on Google Cloud Platform (GCP) Vertex AI. Set up a "Feature Store" so that it is reused across training and serving.

Lifecycle Management: Implement strategies for automated model re-training, re-valuation, versioning, and drift detection. Model monitoring and setting up alerts when accuracy dips below a certain threshold.

Scalability: Ensure the inference API and batch prediction pipelines are low-latency and scalable.

Must-Have Skills:

Cloud Platform: Hands-on experience with GCP (Vertex AI, Cloud Functions, GCS).

CI/CD: Proficiency with tools like GitHub Actions, Jenkins, or GitLab CI specifically for ML (CT/CD).Experience with Terraform will be an added advantage.

Containerization: Strong skills in Docker and Kubernetes.