MLOps Engineer
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: MLOps Engineer
Company: Willware Technologies
Experience: 4-5 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 Clouds 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 forML (CT/CD).Experience with Terraform will be an added advantage.
Containerization: Strong skills in Docker and Kubernetes.
Required Skills:
MLearningMachine LearningOperationsVertexGoogle Cloud PlatformGoogle CloudGCS
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
