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 (Bengaluru)
🏢 Glauben Technologies
📍 Bengaluru