Data Scientist (LLM/ML Focus)

As a Data Scientist in our Data & AI organization, you will contribute to building AI-powered features and capabilities within Basware's SaaS products.Working as part of the Basware-wide Data Science Center of Excellence (CoE), you will support and lead both Large Language Model (LLM) and traditional Machine Learning projects. This role combines hands-on technical work with collaborative problem-solving, requiring you to help transform experimental proof of concepts into production-ready solutions.Key ResponsibilitiesLLM Development & Implementation: Work on LLM projects using modern frameworks, implementing prompt engineering strategies, fine-tuning techniques, and production-ready solutionsProof of Concepts: Design and execute proof of concepts for new AI functionality, evaluating feasibility and performanceML Opportunity Discovery: Help identify new machine learning opportunities across the organization, translating business challenges into technical solutionsProductization Support: Support LLM/ML projects from experimentation through to production deploymentCross-functional Collaboration: Work with engineering, product, and business teams to deliver impactful AI solutionsBest Practices: Contribute to best practices for LLM/ML monitoring, evaluation, and safety, including implementation of guardrails,Required QualificationsLLM Experience: Practical experience with Large Language Model projects, including:oPrompt engineering and optimization techniquesoFine-tuning methodologies (LoRA, QLoRA, full fine-tuning, RLHF, etc.)oLLM evaluation and monitoring approachesoImplementation of safety guardrails and content filteringoFamiliarity with modern LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face)OAgentic Experience Or Understanding Of How Agents WorkML Foundation: Good understanding and practical experience with core machine learning algorithms including clustering, classification, regression, anomaly detection, and optimization techniques across various data scalesProject Lifecycle Experience: Ability to work on the complete lifecycle of LLM/ML projects from conception through deployment, maintenance, and optimizationData 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 conceptsTechnical Proficiency: Strong programming skills (Python required) and experience with LLM/ML frameworks and librariesPreferred QualificationsExperience with cloud platforms, particularly AWSHands-on experience with Databricks or similar big data platformsFamiliarity with MLOps practices and toolsExperience with vector databases and retrieval-augmented generation (RAG) systemsExperience deploying ML models to production environmentsExperience with model monitoring and observability toolsContributions to open-source LLM/ML projectsWhat We're Looking ForSomeone who can contribute to LLM initiatives from concept to productionA collaborative team member who works well within the Data Science CoEStrong communication skills to work across technical and business teamsCuriosity and eagerness to explore new AI technologies and methodologiesWhy 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 offerCompetitive salary and company incentive programLunch and recreational benefits, transferable to dental care or massagesOccupational and mental health servicesHobby clubs and gymFree on-site parking, also for electric carsBicycle or subsidized commuter ticket benefitEmployee awards and team social eventsGood learning opportunities, e.g. LinkedIn Learning licenseand 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.