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Required Skills & Experience
Minimum 6+ years of experience in
- ML Engineering
- MLOps
- DevOps
- Data Engineering (with ML lifecycle exposure)
- Strong hands-on experience building ML workflows and pipelines
- Excellent Python skills
- Experience with ML frameworks/tools:
- MLflow
- Scikit-learn
- PyTorch
- Strong cloud experience:
- Azure (preferred)
- AWS
- Solid understanding of:
- Docker
- Kubernetes (or equivalent orchestration)
- CI/CD and IaC experience:
- GitHub Actions
- Azure DevOps
- Terraform
Key Skills
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