Gramian Consulting
Gramian Consulting
Gramian Consulting — инженерия, деректер және жасанды интеллект салаларындағы мамандарға бағытталған, қашықтан жұмыс істеуді басымдыққа қоятын консалтингтік компания. Ол ұйымдарға мамандарды уақытша тарту, кадр іріктеу, арнайы командалар құру және мердігерлерді басқару арқылы техникалық мүмкіндіктерін кеңейтуге көмектеседі. Компания LLM модельдерін оқыту және дәлдеп баптау, AI агенттері мен көмекшілері, MLOps және AI инфрақұрылымы сияқты қызметтерді де ұсынады. Сонымен қатар мансапқа дайындық, сұхбатқа дайындалу және халықаралық нарыққа бейімделу бағыттарын қамтитын тәлімгерлік және білім беру бағдарламалары арқылы жеке тұлғалардың кәсіби дамуын қолдайды. Оның жұмысы клиенттерге техникалық командалар құруға және жасанды интеллектіні бизнес қажеттіліктеріне қолдануға көмектесу үшін практикалық инженерлік және кадр іріктеу тәжірибесін біріктіреді.

Senior Technical Program Operations Lead, AI Engineering – Vietnam Remote

Lead large-scale AI engineering data programs remotely from Vietnam, overseeing delivery, quality, throughput, contributor performance, timelines, and cost across distributed technical operations.

Сипаттама

  • Lead end-to-end program delivery, managing scope, timelines, quality, throughput, contributor performance, and cost.
  • Create and oversee workflows for coding datasets, agentic trajectories, reinforcement-learning environments, benchmarks, and rubric-based evaluations.
  • Find operational bottlenecks and improve execution through clearer instructions, sequencing, incentives, review processes, and capacity planning.
  • Define contributor profiles and collaborate with talent teams to source, evaluate, onboard, train, and ramp distributed software engineers.
  • Establish team-lead and reviewer models for programs supported by 100 to 1,000 or more contributors.
  • Manage quality-control systems and examine datasets for trends, recurring errors, and underlying causes.
  • Serve as the main customer contact for AI labs, reporting progress, risks, quality patterns, and recovery plans.
  • Turn research goals into workable task specifications, and question requirements that may fail to generate the intended evaluation signal.
  • Apply Python, SQL, or comparable tools to automate quality sampling, defect analysis, throughput reporting, and operational reviews.
  • Turn proven workflows into reusable playbooks, quality controls, evaluation resources, and contributor-management systems.
  • Distribute operational insights and coach other program leads.

Талаптар

  • Demonstrated success leading complex, multi-stakeholder programs in software engineering, technical program management, consulting, finance, startups, operations, or a related setting.
  • Strong analytical and problem-solving ability, with experience finding bottlenecks, establishing useful metrics, and improving production performance.
  • Background managing distributed teams, contributor networks, marketplaces, or large-scale technical operations.
  • Excellent customer-facing communication skills, including expectation management, risk communication, and long-term client relationship building.
  • Ability to read and review code, understand test suites, and evaluate technical work independently.
  • Working proficiency in at least one programming language, such as Python, TypeScript, Java, or Go.
  • Experience using data and operational metrics to track quality, throughput, performance, and delivery.
  • Comfort working in fast-changing environments where research requirements and priorities shift quickly.

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