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Urgent! AI DATA SCIENTIST - SENIOR (m/f) Job Opening In Warsaw – Now Hiring Bosch Group

AI DATA SCIENTIST SENIOR (m/f)



Job description

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.

Responsibilities:

  • 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

Qualifications

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


Additional Information

Work #LikeABosch:

  • Employment Contract
  • Competitive salary + annual bonus
  • Hybrid work with flexible working hours
  • Referral Bonus Program
  • Copyright costs for IT employees

Grow #LikeABosch:

  • 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

Live #LikeABosch:

  • 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


Required Skill Profession

Mathematical Science Occupations



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