Machine Learning Ops Engineer

2 weeks ago


Bengaluru, Karnataka, India Agiliad Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role

We are seeking a Machine Learning Ops Engineer to support and scale our ML/AI infrastructure. The role involves working with LangServe, LangFuse, Docker, and Kubernetes to deploy, monitor, and optimize ML models in production environments.

Key Responsibilities

• Assist in designing and managing ML model deployment pipelines.

• Work with LangServe to deploy and serve ML/LLM applications.

• Implement monitoring and logging using LangFuse for model performance tracking.

• Containerize ML applications with Docker and deploy them on Kubernetes clusters.

• Collaborate with Data Scientists to integrate ML models into production systems.

• Support CI/CD pipelines for model updates and versioning.

• Ensure system reliability, scalability, and automation for ML workloads.

Required Skills

• 24 years of experience in ML Ops

• Hands-on experience with LangServe and LangFuse.

• Good understanding of Docker (building images, managing containers).

• Exposure to Kubernetes (deployment, scaling, Helm, monitoring).

• Programming skills in Python (preferred) or Java.

• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Understanding of CI/CD tools (GitHub Actions, Jenkins, etc.).

• Basic knowledge of cloud platforms (AWS / GCP / Azure).

Good to Have

• Exposure to LangChain or RAG pipelines.

• Knowledge of observability tools (Prometheus, Grafana, ELK).

• Understanding of ML lifecycle management (MLflow, DVC).

Educational Qualification

• Bachelors degree in Computer Science, Data Science, AI/ML, or related field.



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