Data Scientist (genAI)

O projekcie: - Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. - “Office as an option” model. You can choose to work remotely or in the office.   - Workation. Enjoy working from inspiring locations in line with our workation policy.  - Great Place to Work® certified employer. - Flexibility regarding working hours and your preferred form of contract.   - Comprehensive online onboarding program with a “Buddy” from day 1.    - Cooperation with top-tier engineers and experts.   - Unlimited access to the Udemy learning platform from day 1. - Certificate training programs. Lingarians earn 500+ technology certificates yearly.  - Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. - Grow as we grow as a company. 76% of our managers are internal promotions.   - A diverse, inclusive, and values-driven community.    - Autonomy to choose the way you work. We trust your ideas.   - Create our community together. Refer your friends to receive bonuses.   - Activities to support your well-being and health. - Plenty of opportunities to donate to charities and support the environment.   - Modern office equipment. Purchased for you or available to borrow, depending on your location. Wymagania: - At least 5+ years of experience in a similar position. - Familiarity with theory behind various machine learning concepts. - Experience with Machine Learning (ML), especially in the area of Genertative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi modal models. - Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. - Fluency in Python, working knowledge of SQL and vector database. - Knowledge of specific DS/ML/CVGenAI/NLP libraries like: NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs i.e. OpenAI/Gemini. - Expertise in Azure cloud resources, Databricks. Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow. Codzienne zadania: - Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment). - Analyzing and interpreting the findings. - Drawing conclusions and recommendations - including expected benefits and measuring ROI for enhancing business processes. - Supporting Pre-sales activities and initiatives.