Przejdź do treści
DevsData LLC

Machine Learning Engineer

5000 - 9000 USD / miesiąc
Warszawa
Wygasa 1 paź 2026
22 dni temu

W skrócie

Machine Learning Engineer for a global leader. Focus on AI/ML, predictive analytics, generative AI. Requires Python, ML frameworks (TensorFlow, PyTorch, Scikit-Learn), cloud deployment (AWS, Docker, Kubernetes), and LLM experience. Remote from Warsaw.

Skrót przygotowany przez AI na podstawie treści ogłoszenia.

Machine Learning Engineer💰 Salary: 5000-9000$ per month (depending on experience)🕦 Full-time☑️ CoE🌴Remote from WarsawWe are looking for a Machine Learning Engineer for a global leader in unified marketing measurement and optimization, recognized by leading industry analysts. The role sits within a NextGen investment initiative, focused on expanding AI/ML capabilities through predictive analytics, generative AI, and agentic systems.

Requirements

Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn, XG

Boost, etc.)

Experience with data pipelines and deploying ML systems in cloud environments (AWS, SageMaker, Docker, Kubernetes)

Hands-on production experience with LLMs and generative AI services (AWS Bedrock, Anthropic Claude, OpenAI, or comparable)

Strong foundations in algorithms, data structures, and software engineering

  • Attention to detail with a focus on quality control and versioning
  • Nice to Have
  • Advanced degree (Master's or Ph.

D.) in CS, ML, applied mathematics, statistics, or related field

  • Experience designing automated evaluation, quality monitoring, or self-correction systems for AI/ML applications
  • Familiarity with numerical programming and optimization methods
  • Background in marketing analytics or communicating technical tradeoffs to non-technical stakeholdersKey Responsibilities
  • Design, develop, and test end-to-end machine learning systems
  • Implement machine learning and statistical algorithms
  • Bridge the gap between data scientists and software engineers — translating analytical specs into production-ready applications
  • Build prototypes and MVPs from minimal proofs of concept
  • Apply generative AI and agentic approaches to synthetic data generation, model hypothesis development, and automated quality review
Opublikowana 2026-08-27
Źródło