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Cloud Engineer (MLOps, GenAI)
  • Warsaw
Cloud Engineer (MLOps, GenAI)
Warszawa, Warsaw, Masovian Voivodeship, Polska
Chaos Gears S.A.
10. 9. 2024
Informacje o stanowisku

technologies-expected :


  • AWS
  • SageMaker
  • Lambda
  • EC2
  • S3

about-project :


  • Ready for an adventure with AWS & AI? Join us!
  • We are one of the fastest-growing AWS Partners in Europe, and our strength lies in the experience gained from delivering innovative IT projects for companies across various industries – from telecommunications and finance to startups.
  • Here, you’ll have the opportunity to dive deep into AWS, working on migration projects, ensuring security, and exploring the latest technologies in the Data & AI area.
  • Together, we drive innovation and help businesses unlock limitless possibilities!

responsibilities :


  • Designing, implementing, and testing GenAI-based solutions in the AWS cloud environment
  • Developing and optimizing GenAI models using AWS tools and services such as SageMaker, Lambda, EC2, S3, and other AI/ML tools
  • Integrating AI solutions with existing infrastructure, based on serverless architectures
  • Implementing automation mechanisms for model training, ML pipelines, and CI/CD for AI solutions
  • Analyzing training data and preparing it for training generative models
  • Developing and deploying real-time data processing and model training solutions

requirements-expected :


  • Minimum 1,5-2 years of experience in the area of ML / MLOps, data engineering, GenAI (or related in AWS)
  • Proficiency in Python programming and familiarity with AI frameworks
  • Hands-on experience in training and optimizing GenAI models
  • Excellent verbal skills (English) and a human-friendly approach
  • General willingness to help customers while theyre struggling with technical problems
  • Good understanding of software engineering best practices such as code reviews, source control management, build processes, testing, deployment, release, and change management

offered :


  • Continues education
  • Paid leave
  • Sponsored AWS certification
  • Training budget
  • Flexible schedule
  • Free English classes
  • Multisport card subsidy

benefits :


  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • integration events

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


    109 770
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