4604091-Manager

MLOpsWe 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 ResponsibilitiesDesign, 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 & ExperienceCore: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 QualificationsMaster’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. About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.