Data Scientist (genAI)
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- 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.
- 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.