Data Scientist (LLM/ML Focus)

Skills & Requirements

Required Qualifications

·LLM Experience: Practical experience with Large Language Model projects, including:

oPrompt engineering and optimization techniques

oFine-tuning methodologies (LoRA, QLoRA, full fine-tuning, RLHF, etc.)

oLLM evaluation and monitoring approaches

oImplementation of safety guardrails and content filtering

oFamiliarity with modern LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face)

oAgentic experience or understanding of how agents work

·ML Foundation: Good understanding and practical experience with core machine learning algorithms including clustering, classification, regression, anomaly detection, and optimization techniques across various data scales

·Project Lifecycle Experience: Ability to work on the complete lifecycle of LLM/ML projects from conception through deployment, maintenance, and optimization

·Data Science Methodology: Solid grasp of the data science workflow including experimental design, hypothesis testing, and statistical methods with strong communication skills for explaining complex technical concepts

·Technical Proficiency: Strong programming skills (Python required) and experience with LLM/ML frameworks and libraries

Preferred Qualifications

·Experience with cloud platforms, particularly AWS

·Hands-on experience with Databricks or similar big data platforms

·Familiarity with MLOps practices and tools

·Experience with vector databases and retrieval-augmented generation (RAG) systems

·Experience deploying ML models to production environments

·Experience with model monitoring and observability tools

·Contributions to open-source LLM/ML projects

What We're Looking For

·Someone who can contribute to LLM initiatives from concept to production

·A collaborative team member who works well within the Data Science CoE

·Strong communication skills to work across technical and business teams

Curiosity and eagerness to explore new AI technologies and methodologies

Why Basware?

We’re a purpose-driven company with a global footprint and a collaborative culture. At Basware, you’ll work with passionate professionals, cutting-edge technology, and a shared commitment to innovation and excellence.

In addition, we offer

• Competitive salary and company incentive program
• Lunch and recreational benefits, transferable to dental care or massages
• Occupational and mental health services
• Hobby clubs and gym
• Free on-site parking, also for electric cars
• Bicycle or subsidized commuter ticket benefit
• Employee awards and team social events
• Good learning opportunities, e.g. LinkedIn Learning license

...and more!

Ready to make an impact?

If you're excited by the challenge, apply now and help shape the future of Basware.

Please submit your resume and cover letter by clicking the ‘I’m interested’ link.

Our recruitment process will include pre-employment actions such as an enhanced background screening by a third party and reference checks.

Basware. Now it all just happens.