Job Title: Machine Learning Engineer / MLOps Engineer (Short JD)



Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, or related field; 6+ years in ML engineering, DevOps, or data engineering.


Experience: Deploying ML models in production, familiarity with microservices, CI/CD, Docker, Kubernetes, and at least one cloud platform (AWS/Azure/GCP).


Skills: Python (mandatory), TensorFlow/PyTorch/Scikit‑learn, MLflow/Kubeflow/SageMaker, Airflow/Prefect, Jenkins/GitHub Actions, SQL, Spark, Kafka (preferred).


Responsibilities: Model deployment, building APIs and pipelines, CI/CD for ML, monitoring model performance and maintaining production ML systems.