zoho_recruit
MLOps Platform Engineer (Chennai / Pune)
Money Forward
Chennai, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
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Responsibilities
- As an MLOps platform engineer, you will play a critical role by enabling our team of ML engineers to develop, train and deploy ML projects efficiently using the latest technologies in container orchestration, cloud services, CI/CD pipelines for data collection, model training and monitoring in production
- Building and maintaining a scalable infrastructure to execute ML projects, while committed to results and user value
- Develop, design, maintain and manage container orchestration using Kubernetes
- Design and execute strategies for GPU optimization, prediction servers, data and training pipelines while ensuring efficient use
- Design and build inference platforms while ensuring reliability and high performance
- Provision and monitor infrastructure resources
- Build and maintain ML workflows and pipelines
- Deploy and maintain monitoring services for observability
- Ensure compliance with security best practices
- Manage and expand LLM serving clusters using stacks like vLLM
Requirements
- Qualification
- Bachelor's degree in Computer Science, engineering or related field
- 3+ years building core infrastructure for ML projects
- Demonstrated background in DevOps, Platform Engineering, SRE, cloud-based infrastructure, or managing production operations
- Experience supporting Generative AI, LLM, production-level AI/ML, or platforms focused on data-intensive workloads
- Deep understanding of the AI application lifecycle, including MLOps, LLMOps, model monitoring, and deployment strategies
- Hands-on experience deploying and providing support for AI services, inference endpoints, and APIs
- Experience in managing, designing, implementing and maintaining robust ML infrastructure to support development and inference workloads, ML workflows, training pipelines and versioning
- Experience building and scaling machine learning infrastructure
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