Lead Mlops Engineer

Nexgencloud

Bangladesh
Competitive salary; annual discretionary bonus sch...
On-site
Production ml infrastructure design
Python backend development skills
Llm and generative ai workflow experience
NexGen Cloud is seeking a Lead MLOps Engineer to oversee the design and implementation of MLOps systems for their AI cloud platform, Hyperstack. The ideal candidate will have a strong background in production ML infrastructure and hands-on experience with relevant technologies, while the role offers competitive benefits and the opportunity for significant impact within a fast-growing company

Job Summary

  • This role involves owning the MLOps layer to make large-scale AI workloads reliable, observable, and repeatable in production.
  • The company delivers on-demand and private GPU infrastructure to teams treating performance as a requirement rather than a feature.
  • Candidates will receive competitive salary, annual discretionary bonuses, and 25 days of holiday plus public holidays.

Matching Summary

Match Score: 85

NexGen Cloud is seeking a Lead MLOps Engineer to oversee the design and implementation of MLOps systems for their AI cloud platform, Hyperstack. The ideal candidate will have a strong background in production ML infrastructure and hands-on experience with relevant technologies, while the role offers competitive benefits and the opportunity for significant impact within a fast-growing company.

Salary

Competitive salary; Annual discretionary bonus scheme; Not specified

Skills & Requirements

Must-have

  • Production ML infrastructure design
  • Python backend development skills
  • LLM and generative AI workflow experience
  • Docker Kubernetes CI/CD expertise
  • GPU workload orchestration and reliability

Nice-to-have

  • Internal developer platform building
  • Performance-sensitive ML workloads
  • B2B software background
  • Cross-functional technical leadership

Key Requirements

  • Proven experience with production ML infrastructure
  • Hands-on Python development for backend systems
  • Experience with LLM fine-tuning workflows
  • Production-grade Docker and Kubernetes usage

Work Rights

Not specified

Tailored Resume

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