Advanced AI Solutions Developer

1 day ago

Gdańsk, Pomerania, Czech Republic beBeeMachineLearning Full time 1,500,000 - 2,000,000
Senior Machine Learning Engineer

Key Responsibilities:

  • Develop high-performing machine learning models and integrate them into scalable software pipelines.
  • Design and deploy production-grade systems that leverage ML to solve real-world optimization and prediction problems.
  • Work with modern infrastructure like Kubernetes, AWS, and MLOps tooling.

Requirements:

  • Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience using large language models (LLMs) in production environments — covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain.
  • Strong understanding of data structures, algorithms, and software engineering best practices.
  • Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts.
  • Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.
  • Bias for simplicity and clarity in solving complex problems.
  • Intellectual curiosity and willingness to collaborate.
  • Clear communication and collaboration across cross-functional teams.

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