Data Scientist / ML Engineer

Data Scientist / ML Engineer

Addepto

Białystok +6 więcej
Machine Learning
Predictive Modeling
Optimization
Natural Language Processing
Computer Vision
🐍 Python
☁️ AWS
SQL
NoSQL
CI/CD

Podsumowanie

Poszukiwany Data Scientist/ML Engineer do prowadzenia rozwoju rozwiązań AI. Wymagana ekspertyza w ML, Python oraz wiedza o AI. Oferowane elastyczne godziny pracy oraz dofinansowanie sprzętu.

Słowa kluczowe

Machine LearningPredictive ModelingOptimizationNatural Language ProcessingComputer VisionPythonAWSSQLNoSQLCI/CD

Benefity

  • Reimbursement for prescription glasses or contact lenses
  • Private medical care
  • Remote work opportunities
  • Flexible working time
  • Integration events
  • 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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