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AI Data Scientist - Senior

https://www.bosch.pl/ Logo

Robert Bosch Sp. z o.o.

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Location:
Poland , Warsaw

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are seeking a highly skilled and experienced Senior Data Scientist / AI Engineer to join our team. As a Senior Data Scientist / AI Engineer, you will be responsible for developing and implementing cutting-edge solutions using Python, Machine Learning, LLMs, and classical NLP methodologies. You will work closely with our team of experts to analyze data, build models, and create innovative (Gen)AI solutions.

Job Responsibility:

  • Collaborate with cross-functional teams to identify, understand, and solve business problems
  • Design, develop, and implement advanced machine learning algorithms, models, and LLM-based pipelines
  • Analyze large datasets to extract meaningful insights and patterns
  • Write production-quality code in Python, using standard software engineering best practices (git, testing, etc.)
  • Stay up-to-date with the latest advancements in AI, GenAI, and data science
  • Collaborate with software engineers to integrate AI models into production systems
  • Provide guidance and mentorship to junior data scientists and engineers

Requirements:

  • Bachelor's degree in Computer Science, Data Science, or a related field. A PhD is preferred
  • Minimum of 5 years of experience in data science and AI engineering
  • Strong proficiency in programming languages like Python
  • In-depth knowledge of machine learning algorithms and techniques
  • Experience with LLMs and RAG or agent frameworks (Langchain, LLamaIndex, etc.)
  • Proficiency in NLP (Natural Language Processing) techniques and libraries
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Ability to work independently and in a team environment
  • Strong attention to detail and ability to prioritize tasks
What we offer:
  • Competitive salary + annual bonus
  • Hybrid work with flexible working hours
  • Referral Bonus Program
  • Copyright costs for IT employees
  • Complex environment of working, professional support and possibility to share knowledge and best practices
  • Ongoing development opportunities in a multinational environment
  • Broad access to professional trainings (incl. language courses), conferences and webinars
  • Private medical care and life insurance
  • Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
  • Prepaid Lunch Card
  • Number of benefits for families (for instance summer camps for kids)
  • Non-working days on the 31st of December

Additional Information:

Job Posted:
October 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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