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