Manager, MLOps

4 days ago

Gurgaon, Haryana, India EXL SERVICES Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Manager

MLOps

We are looking for a highly skilled Analytics & Data Engineering professional with a strong background in Machine Learning, MLOps, and DevOps. The ideal candidate will have experience designing and implementing scalable data and analytics pipelines, enabling production-grade ML systems, and supporting agent-based development leveraging MCP/OpenAPI to MCP wrapper and A2A protocols. This role combines hands-on technical work with solution design, and will require close collaboration with data scientists, product teams, and engineering stakeholders.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL/ELT processes for analytics and ML workloads.
  • Implement MLOps frameworks to manage model lifecycle (training, deployment, monitoring, and retraining).
  • Apply DevOps best practices (CI/CD, containerization, infrastructure as code) to ML and data engineering workflows.
  • Develop and optimize data models, feature stores, and ML serving architectures.
  • Collaborate with AI/ML teams to integrate models into production environments.
  • Support agent development using MCP/OpenAPI to MCP wrapper and A2A (Agent-to-Agent) communication protocols.
  • Ensure data quality, governance, and compliance with security best practices.
  • Troubleshoot and optimize data workflows for performance and reliability.
Required Skills & Experience
  • Core:
    • 6 years in analytics and data engineering roles.
    • Proficiency in SQL, Python, and data pipeline orchestration tools (e.g., Airflow, Prefect).
    • Experience with distributed data processing frameworks (e.g., Spark, Databricks).
  • ML/MLOps:
    • Experience deploying and maintaining ML models in production.
    • Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
  • DevOps:
    • Hands-on experience with CI/CD (Jenkins, GitHub Actions, GitLab CI).
    • Proficiency with Docker, Kubernetes, and cloud-based deployment (AWS, Azure, GCP).
  • Specialized:
    • Experience with MCP/OpenAPI to MCP wrapper integrations.
    • Experience working with A2A protocols in agent development.
    • Familiarity with agent-based architectures and multi-agent communication patterns.
Preferred Qualifications
  • Master's degree in Computer Science, Data Engineering, or related field.
  • Experience in real-time analytics and streaming data pipelines (Kafka, Kinesis, Pub/Sub).
  • Exposure to LLM-based systems or intelligent agents.
  • Strong problem-solving skills and ability to work in cross-functional teams.

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