Required Skills

- Robust programming skills in Python.
- Hands-on experience with MLOps pipelines and machine learning lifecycle management.
- Experience with Docker and Kubernetes.
- Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Experience with MLflow, Kubeflow, Airflow, or equivalent orchestration and lifecycle tools.
- Knowledge of cloud-based ML services such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI.
- Understanding of REST APIs, model serving, automated testing, and deployment strategies.
- Familiarity with Git, Linux, and infrastructure-as-code tools.
- Understanding of model monitoring, data quality, model drift, and performance optimization.

Good to Have

- Experience with feature stores and model registries.
- Knowledge of PyTorch, TensorFlow, or Scikit-learn.
- Experience with LLMOps, GenAI deployment, and LLM monitoring.
- Familiarity with Spark, Kafka, and large-scale data processing.
- Experience with security, governance, and compliance in production ML systems

📌 Hiring For MLops Engineer (Pune)
🏢 Glauben Technologies
📍 Pune