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Data Scientist / ML Engineer

Data Scientist / ML Engineer

Addepto

Białystok +6 więcej
🤖 Designing AI solutions
Machine Learning
Predictive Modeling
Optimization
NLP
Computer Vision
🐍 Python programming
Cloud environments
🧠 ML algorithms
📊 Data engineering

Podsumowanie

Data Scientist/ML Engineer needed to lead ML solutions development in Poznań. Requires 3+ years experience in AI, strong Python skills, and expertise in cloud deployments.

Słowa kluczowe

Designing AI solutionsMachine LearningPredictive ModelingOptimizationNLPComputer VisionPython programmingCloud environmentsML algorithmsData engineering

Benefity

  • Reimbursement for prescription glasses or contact lenses
  • Sharing the costs of sports activities
  • Private medical care
  • Sharing the costs of professional training & courses
  • Remote work opportunities
  • Flexible working time
  • Integration events
  • No dress code
  • Video games at work
  • Coffee / tea, drinks
  • Christmas gifts
  • Birthday celebration
  • Employee referral program

Opis stanowiska

Wymagania

Proven commercial experience (+3 years) designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)., Proficiency in developing ML algorithms from scratch to production deployment., Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)., Proven expertise in deploying solutions in cloud environments (AWS or Azure)., Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)., High proficiency in English (C1 level)., Excellent communication skills and consulting experience with direct interaction with clients., Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)., Good knowledge of CI/CD principles (GitHub and GitHub Actions)., Familiarity with MLOps practices, Kubernetes and Docker., Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field., Practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript).

Benefity

Reimbursement for prescription glasses or contact lenses, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, remote work opportunities, flexible working time, integration events, no dress code, video games at work, coffee / tea, drinks, christmas gifts, birthday celebration, employee referral program

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Wyświetlenia: 3
Opublikowanaokoło miesiąc temu
Wygasa9 minut temu
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