Company Description
The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.
Bosch Service Solutions in Lisbon hosts Bosch's first international shared HR service. With over 160 specialized employees, HR Service Europe operates in the areas of IT tool development dedicated to HR, information management, training, recruitment and selection, and international assignments for more than 40 countries worldwide.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.
Job Description
Are you a deeply technical Data Scientist who thrives on transforming complex data into intelligent, human-centric solutions? We are seeking an expert in Generative AI and Natural Language Processing to redefine how we approach HR challenges. Here, you will apply cutting-edge AI developments to create tangible impact, moving beyond theoretical models to build applications that truly matter.
Your contribution to something big:
- Apply Generative AI and Natural Language Processing to solve practical HR challenges end-to-end;
- Design and optimize AI solutions using Large Language Models (LLMs), RAG architectures, and modern optimization strategies;
- Analyze complex datasets using classical Data Science methods (e.g. clustering) to generate actionable insights;
- Select, fine-tune, and evaluate LLMs (e.g. using LoRA) to balance performance, cost-efficiency, and quality;
- Assess AI models based on cost-per-token, performance, and intelligence to ensure sustainable solutions;
- Identify potential AI risks and pitfalls and proactively implement mitigation strategies, ensuring responsible and reliable AI usage.
Qualifications What distinguishes you:
- Education: Degree in Computer Science, Data Science, Computational Linguistics, or a comparable technical field.
- Experience:
+ Hands-on experience working with data-driven applications using Python;
+ Proven experience in Generative AI, NLP, and machine learning projects.
+ Strong knowledge of LLMs, RAG architectures, sentence transformers, and optimization techniques;
+ Experience with LLM fine-tuning (e.g. LoRA);
+ Solid foundation in classical Data Science methods;
+ Awareness of current AI limitations, risks, and ethical considerations.
- Languages: Excellent English skills (written and spoken).
