ML AI Platform Engineer
Capco · Bengaluru, India · Hybrid
About the role
ML AI Platform Engineer in the ML Platform team, supporting customer issues, performing RCA, and improving/optimizing ML platform solutions for model training and agent development. Works on a platform similar to Google Vertex AI or Amazon SageMaker.
What you'll do
- Support resolve customer issues, respond to queries, perform monthly RCA, and identify improvement actions
- Understand industry trends, design, enhance, and improve/optimize ML platform solutions for model training and agent development
- Work on platform enabling ML developers to train models, run experiments, execute AI workloads, and develop agents
What they're looking for
- Min 5yrs in Python development with very strong hands-on development skills, including debugging, performance optimization, and backend/system-level programming
- Good understanding of tensors, tensor operations, memory layout, and execution fundamentals
- Hands-on experience with at least one distributed computing framework such as Apache Spark or Ray
- Strong understanding of operating systems, processes, threads, memory management, concurrency, and parallel computing
- Understanding of CPU, GPU, and AI accelerator fundamentals, including how compute workloads use hardware resources
Key details
- Company
- Capco
- Location
- Bengaluru, India · Hybrid
- Work mode
- Hybrid
- Seniority
- Mid-level
- Role category
- DevOps & SRE
- Experience
- Min 5yrs in Python development
- Posted
- 3 Nov 2026
- Source
- job-boards.greenhouse.io