Senior MLOps Engineer (GPU Platform)

Your role & responsibilities

• Own the success-run ratio of GPU workloads as a measurable SLO; drive it up and keep it there.
• Build and operate the GPU job scheduling and queueing layer — fair-share allocation, prioritization, backpressure, and recovery across a heterogeneous fleet.
• Implement GPU partitioning and sharing (MIG, MPS, time-slicing) to raise utilization without destabilizing runs.
• Profile and right-size workloads: per-model GPU memory, runtime, and failure characteristics; eliminate OOMs and silent failures.
• Define a standard packaging/deployment contract for new models so onboarding is repeatable, not bespoke.
• Build observability for the run lifecycle — metrics, logs, traces, alerting — so failures are caught and diagnosed fast.
• Harden the orchestration stack (workflow engine, durable execution, retries/failover) against real failure modes.
• Partner with the DevOps engineer on cluster/networking and with AI engineers to make their models production-ready.

Your skills & qualifications

Must have:

• 5+ years in MLOps / ML platform / GPU systems engineering, with direct ownership of production reliability.
• Deep experience operating GPU workloads at scale (NVIDIA stack: CUDA, drivers, GPU Operator, MIG/MPS).
• Strong background in workload orchestration and scheduling — Kubernetes (Jobs/batch), Ray, Slurm, or equivalent.
• Hands-on managed-ML platform experience on at least one major cloud, with working familiarity of the other:
  • GCP — Cloud Run, Vertex AI
  • AWS — SageMaker
• Solid understanding of cloud architecture (compute, networking, storage, IAM) across hybrid cloud + on-prem.
• Proven track record raising reliability/utilization of a heterogeneous GPU fleet.
• Solid software engineering (Python and one systems language) — you build platform tooling, not just configure it.
• Observability and SRE fundamentals: SLOs, metrics, tracing, incident response.

Benefits for you

We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.

• Salary: Up tp 7000 $ (negotiable based on experience) 
• Workplace: No.45-57, Tran Xuan Soan, Hai Ba Trung, Ha Noi (From Monday to Friday: 9h -17h) 
• Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts.
• Work on impactful projects that address critical challenges in drug discovery and healthcare.
• Employees are entitled to 2 work-from-home days per month, along with daily lunch provided by the company.
• Holiday & Tet bonuses; performance-based bonus
• Social insurance contribution on full salary