GenAI ML Engineer Data Scientist

4 tygodni temu


Warsaw, Polska Shimi Sp. z o.o. Pełny etat

Our Client is a team of creative people focused on development in the field of DATA in its broadest sense. Areas of interest include machine learning, MLOps, Data Engineering, and everything related to data. Client carries out projects related to ML, forecasting, and last but not least, Explainable AI. Client support clients across various industries, including banking, insurance, retail, and is located in Europe, the US, South America, and Asia. We are looking for: Data Scientist (Python GenAI) Responsibilities: Developing innovative solutions, both internally and for our clients, by leveraging cutting-edge machine learning and AI technologies. Modelling, developing & validating intelligent assistants using the latest large language models (e.g., GPT-4, Falcon 2, LLAMA 3, Mixtral), employing Retrieval Augmented Generation techniques, and utilizing agent frameworks (e.g., Langraph, CrewAI). Utilizing AI expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges. Communicating complex insights in a clear and actionable manner both to technical and non-technical colleagues and clients. Collecting, preprocessing, and analyzing large datasets for training ML models Contributing to project documentation Requirements: 3 years of relevant professional experience; Professional experience in building applications using Large Language Models (LLMs) and related concepts & design patterns (e.g. RAG, vector DBs, embeddings, prompt engineering, multi-agent systems) Familiarity with LLM frameworks (e.g., Langchain, LLamaindex) Proficiency in Python programming Core skills in statistics Solid knowledge of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures Experience in training/using transformer-based models for text and/or image data Expertise in working with large datasets and performing data cleaning, transformation, and manipulation (e.g., Pandas, NumPy, SQL) Graduated in Economics, Econometrics, Quantitative Methods, Computer Science, Maths, Physics, Operational Research, or a related discipline Proficiency in English, both written and spoken Excellent analytical and problem-solving skills Nice to have: Knowledge of frameworks and Python libraries related to GenAI agents (e.g., Langraph, CrewAI, Autogen, Taskweave) Knowledge of Natural Language Processing techniques Knowledge of an extra programming language (e.g., C#, Go, Java) Knowledge of reinforcement learning key concepts Offer: B2B contract Rate - we are open to your expectations Fully remote set-up


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