Provectus
Provectus
Provectus एक आर्टिफिशियल इंटेलिजेंस परामर्श और समाधान प्रदाता कंपनी है, जो संगठनों को व्यावहारिक व्यावसायिक और तकनीकी चुनौतियों पर AI लागू करने में मदद करती है। इसका कार्य उपयोग-मामलों के विकास को खुले, विक्रेता-निरपेक्ष और क्लाउड-नेटिव AI प्लेटफ़ॉर्मों के साथ जोड़ता है, जिन्हें प्रतिबंधात्मक लाइसेंसिंग के बिना ग्राहक के अपने क्लाउड वातावरण में तैनात किया जा सकता है। कंपनी परामर्श, समाधान अनुकूलन और प्रबंधित AI सेवाओं के माध्यम से ग्राहकों का समर्थन करती है, जिनके अनुप्रयोग खुदरा, विनिर्माण और स्वास्थ्य सेवा सहित विभिन्न क्षेत्रों में हैं। Provectus की टीमें नवाचार को बढ़ावा देने, परिचालन दक्षता सुधारने और तकनीक को प्रत्येक संगठन के उद्देश्यों के अनुरूप बनाने के लिए तैयार AI समाधान विकसित करती हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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