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102 S3B Global Jobs
MLOps Engineer
S3B Global
posted 2 weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Experience: 3+ years in MLOps
- Design, build, and maintain scalable and reliable MLOps pipelines.
- Deploy machine learning models to production using Docker and Kubernetes .
- Automate CI/CD processes for ML workflows using Jenkins .
- Monitor and troubleshoot deployed models using Prometheus and other observability tools.
- Collaborate with data scientists, engineers, and DevOps teams to ensure smooth model integration and performance.
- Ensure model versioning, reproducibility, and governance best practices are followed.
- Optimize and scale MLOps infrastructure based on business and technical requirements.
- 3+ years of hands-on experience in MLOps or ML model deployment in production.
- Strong experience with Kubernetes and container orchestration.
- Proficient in building and deploying with Docker .
- Experience setting up and managing CI/CD pipelines using Jenkins .
- Good understanding of monitoring tools like Prometheus , Grafana, etc.
- Solid scripting/coding experience with Python, Bash, or similar.
- Familiarity with ML lifecycle tools (MLflow, TFX, SageMaker, etc.) is a plus.
- Strong communication skills and ability to work in cross-functional teams.
Employment Type: Full Time, Permanent
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