ML AI Platform Engineer

Related skills

python distributed systems apache spark systems engineering ray

๐Ÿ“‹ Description

  • Support resolve customer issues, respond to queries
  • Perform monthly RCA (Root Cause Analysis)
  • Identify improvement actions and ensure smooth experience for the customer
  • Minimize issues regularly from the platform
  • Understand industry trends, design, enhance, and improve/optimize ML platform solutions for model

๐ŸŽฏ Requirements

  • Minimum 5 years in Python development
  • Very strong hands-on Python development skills including debugging, performance optimization, and
  • 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
  • Understanding of CPU, GPU, and AI accelerator fundamentals, including how compute workloads use

๐ŸŽ Benefits

  • Work on engaging projects with the largest international and local banks, insurance companies
  • Innovative thinking, delivery excellence and thought leadership to help clients transform their
  • No forced hierarchy, everyone has the opportunity to grow as we grow
  • Tolerant, open culture that values diversity, inclusivity, and creativity
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