Posted:23 hours ago|
Platform:
On-site
Full Time
Must have - 3+ years of experience.
- Proven experience in MLOps, DevOps, or ML Engineering roles.
- Proficiency in Python, Bash, and scripting languages.
- Hands-on experience with ML platforms (e.g., MLflow, Kubeflow, SageMaker).
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with CI/CD tools (e.g., Jenkins, GitHub Actions).
- Strong understanding of ML model lifecycle and deployment challenges.
- Excellent problem-solving and communication skills.
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