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Provectus
Provectus
501 – 1000 Darbinieki
H1B vīzas sponsorsKonsultācijasRažošanaVeselības aprūpe
Provectus ir mākslīgā intelekta konsultāciju un risinājumu sniedzējs, kas palīdz organizācijām izmantot MI praktisku uzņēmējdarbības un tehnoloģiju izaicinājumu risināšanai. Uzņēmuma darbs apvieno lietojuma scenāriju izstrādi ar atvērtām, no piegādātāja neatkarīgām mākoņdatošanas MI platformām, kuras var ieviest klienta paša mākoņvidē bez ierobežojošiem licencēšanas nosacījumiem. Provectus atbalsta klientus konsultāciju, risinājumu pielāgošanas un pārvaldītu MI pakalpojumu jomā, piedāvājot risinājumus mazumtirdzniecībai, ražošanai, veselības aprūpei un citām nozarēm. Uzņēmuma komandas veido pilnībā sagatavotus MI risinājumus, kas veicina inovācijas, uzlabo darbības efektivitāti un saskaņo tehnoloģijas ar katras organizācijas mērķiem.
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Vakances uzņēmumā

Junior AI/ML Engineer, GenAI and AWS – Remote Ukraine

Join Provectus as a junior AI/ML engineer developing RAG systems, AI services, and AWS deployments. You will contribute to evaluations, APIs, and production delivery while working under senior guidance.

AMArmēnijaESSpānijaPLPolijaRSSerbijaUAUkrainaAttālinātiPilna slodzeJaunākais speciālistsGrāds nav nepieciešamsNepieciešamā Valoda: angļuMašīnmācīšanās inženieris
AWSPythonTypeScript

Apraksts

  • Develop RAG system components with senior guidance while building increasing independence
  • Create tests and contribute to evaluation harnesses
  • Deliver production code across AI applications, backend services, and data pipelines
  • Connect AI capabilities to backend services and REST APIs
  • Help deploy containerized applications to AWS through CI/CD pipelines
  • Prepare documentation, runbooks, and materials for client handover
  • Contribute to engineering discussions and architecture decisions
  • Evaluate models, investigate failure modes, and help improve system performance
  • Gradually take ownership of components and related technical decisions

Prasības

  • Take initiative, work independently, and seek clarity instead of waiting for assigned tickets
  • Communicate clearly and apply strong problem-solving skills
  • Work effectively with some ambiguity while receiving support from senior engineers
  • Have B2+ English proficiency and collaborate comfortably with distributed, multicultural teams
  • Bring hands-on experience building or contributing to RAG systems, preferably in production or near-production environments
  • Demonstrate sound engineering fundamentals and proficiency in Python and/or TypeScript
  • Become productive in unfamiliar codebases with reasonable onboarding support
  • Have practical AWS experience with services such as Lambda, S3, or ECS
  • Be prepared to develop expertise in Amazon Bedrock and Bedrock AgentCore
  • Have project experience with containers and CI/CD
  • Understand the evaluation of non-deterministic systems and iterative testing cycles
  • Have basic working knowledge of model and agent monitoring
  • Recognize cost and latency trade-offs in LLM-based systems
  • Have used LLM APIs such as Anthropic, AWS Bedrock, or OpenAI in real projects
  • Have at least two years of software or ML engineering experience, including exposure to production systems
  • Have solid AI/ML fundamentals and an understanding of common model failure modes

Priekšrocības

  • Work in a remote-friendly environment
  • Receive support for internal training and professional certifications in Claude, AWS, and related technologies
  • Attend industry conferences
  • Pursue career growth through active engineer development
  • Use current AI tools and premium subscriptions
  • Engage in a long-term B2B collaboration
  • Receive private medical insurance or a medical-care budget
  • Take paid sick leave, vacation, and public holidays
  • Receive the equipment and technology needed for comfortable, productive work

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H1B vīzas sponsorsMākslīgais intelektsRažošanaVeselības aprūpe
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