We are looking for experienced Data Scientist with AI Foundry and Azure knowledge.
responsibilities :
Implementing end-to-end GenAI solutions.
Providing guidance on how chatbots are constructed.
Building chatbot system components: prompt engineering / prompting strategies, routing, conversation state management, vector stores and more generally context providing, rerankers, validation and assessment rules.
Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment).
Delivering high quality technical solution to the customer.
requirements-expected :
At least 5 years of experience in a similar position.
Strong tech stack in Azure Cloud, AI Foundry is a must have including: Azure ML prompt flow, Azure AI foundry, Azure LLM provisioning.
Knowledge of specific Deep Leaning and GenAI libraries like: NumPy, Keras, PyTorch, HuggingFace, LangChain, and GenAI APIs i.e. OpenAI/Gemini.
Fluency in Python, working knowledge of SQL and vector database.
Familiarity with theory behind various deep learning concepts.
Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models.
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
offered :
Stable employment. International projects for Global Fortune 500 companies.
Remote or hybrid work.
Flexibility regarding working hours. Autonomy to choose the way you work. We trust you.
Annual Training&Development Budget, upskilling support, capability development programs
Cooperation with top-tier engineers and experts.
Unique culture, relationship- and respect-driven community, non-corporate atmosphere
Agile approach and no bureaucracy
Activities to support your well-being and health. Luxmed Gold Extended medical care and Multisport Plus benefit.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
