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Gramian Consulting
Gramian Consulting
KonsultācijasLoģistikaMārketings
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.
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Vakances uzņēmumā

Senior Technical Program Operations Lead – AI Engineering

Lead large-scale AI engineering data programs for Gramian Consulting, overseeing delivery, quality, contributors, workflows, and cost. The role covers coding datasets, evaluations, and operational systems for distributed software-engineering teams.

IDIndonēzijaINIndijaKEKenijaNGNigērijaPKPakistānaTRTurcijaAttālinātiLīgumsVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
GoJavaPythonSQLTypeScript

Apraksts

  • Lead end-to-end program delivery across scope, timelines, quality, throughput, contributor performance, and cost.
  • Design and oversee workflows for coding datasets, agentic trajectories, reinforcement-learning environments, benchmarks, and rubric-based evaluations.
  • Diagnose operational bottlenecks and improve execution through clearer instructions, sequencing, incentives, review processes, and capacity planning.
  • Define contributor profiles and work with talent teams to source, evaluate, onboard, train, and scale distributed software engineers.
  • Establish team-lead and reviewer structures for programs involving 100–1,000+ contributors.
  • Manage quality-control systems and analyze 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 actionable task specifications and challenge assumptions when requirements 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 effective workflows into reusable playbooks, quality controls, evaluation resources, and contributor-management systems.
  • Document 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, including identifying bottlenecks, defining useful metrics, and improving production performance.
  • Experience overseeing distributed teams, contributor networks, marketplaces, or large-scale technical operations.
  • Strong client-facing communication skills, with experience setting expectations, explaining risks, and developing lasting customer relationships.
  • Ability to read and review code, understand test suites, and independently evaluate technical work.
  • 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.
  • Ability to perform effectively as research requirements and priorities change rapidly.

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