Gramian Consulting
Gramian Consulting
Gramian Consulting ir attālinātam darbam prioritāti piešķirošs konsultāciju uzņēmums, kas koncentrējas uz inženierzinātņu, datu un mākslīgā intelekta talantiem. Tas palīdz organizācijām paplašināt tehniskās iespējas, nodrošinot talantu piesaisti, personāla atlasi, specializētas komandas un līgumdarbinieku pārvaldību, kā arī piedāvā tādus pakalpojumus kā LLM modeļu apmācība un precizēšana, MI aģenti un asistenti, MLOps un MI infrastruktūra. Uzņēmums atbalsta arī individuālo karjeras attīstību, īstenojot mentoringa un izglītības programmas, kas aptver sagatavotību karjerai, gatavošanos darba intervijām un orientēšanos starptautiskajā darba tirgū. Tā darbība apvieno praktisku inženierijas un personāla atlases pieredzi, lai palīdzētu klientiem izveidot tehniskās komandas un izmantot MI uzņēmējdarbības vajadzībām.

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.

Apraksts

  • 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.

Prasības

  • 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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