General Information
Location
Pune, Maharashtra
Working Schedule
Full-Time
Work Arrangement
Hybrid
Posted Date
10-Sep-2026
Job ID
20565
Description and Requirements
GG10.2
Role Value Proposition
MLOps Engineer plays a critical role in the Data & Analytics life cycle. The role requires one to demonstrate expertise in CI/CD automation, cloud platforms, containerization, and operational monitoring. It is an individual contributor role, expected to independently function
Experience
5-8+ years of relevant experience
Education
Bachelors degree in computer science, information technology or equivalent educational qualification
Responsibilities
- Design, implement, and maintain deployment pipelines for batch and real-time models using on-prem and Azure cloud
- Embed security best practices in deployments to ensure compliance with enterprise, governance, and regulatory standards.
- Implement observability frameworks (logging, monitoring, alerting) to ensure reliability and performance.
- Optimize deployments for performance, scalability and reliablity
- Manage infrastructure for data pipelines and ML workloads across on-premise and cloud environments.
- Deploy and manage containerized workloads using Docker and Kubernetes.
- Drive adoption of best practices in DevOps and MLOps across the Data & Analytics ecosystem.
- Document pipelines, environments, and operational standards for cross-team use.Design, implement, and maintain CI/CD pipelines for data, analytics, and ML solutions.
- Independently lead design, solutioning & estimations
- Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
Technical Skills
- Deployment tools (Azure DevOps, Tosca,YAML Scripting, code versioning tools)
- Big Data Frameworks : Apache Spark, Hadoop
- Azure cloud services ( Synapse, Databricks, Azure Apps, AKS)
- Containerization and orchestration (Docker, Kubernetes, )
- Protocols/technologies like HTTP, SSL, LDAP, JDBC, SQL, XML
- Python, ML model serving and monitoring frameworks (MLflow, Azure ML)
- Shell Scripting : Powershell, bash, CMD, CLI
- Rest APIs, Postman
- Communication skills, analytical skills, structured problem-solving skills
- Partner, Stakeholder engagement experience
Good To have
- DevOps certification
- Infrastructure acess managment( RBAC, Keyvault, CyberArk)
- Exposure to Gen AI technology and tools
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!