AI Data Scientist, Robert Bosch Sp. z o.o.

Robert Bosch Sp. z o.o.

Location:
Poland, Warszawa

Category:
IT - Software Development

Contract Type:
Employment contract

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:
July 14, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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