Mlops Engineer

Description:

Key Responsibilities:
✅ Develop and automate ML pipelines (training → deployment).
✅ Manage MLflow environments for tracking & versioning.
✅ Integrate CI/CD pipelines for ML models.
✅ Monitor performance, drift, and retraining needs.

Requirements:
🎓 Bachelor’s/Master’s in Computer Science, Data Engineering, or related.
💼 3–5 years’ experience in MLOps/ML engineering.
🧠 Hands-on with MLflow, Python, Docker/Kubernetes, and CI/CD.