Data Scientist

3 days ago

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Lingaro

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Artificial Intelligence • B2B • Enterprise

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

1001 - 5000 employees

Founded 2008

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Implementing end-to-end GenAI powered RAG & multi-agent systems: • Providing guidance on system architecture & components • Building TTD system components: • LLM Agents • LLM Agents setup & prompt engineering / prompting strategies • Routing • State management • Vector stores and more generally context providing • Rerankers • Validation and assessment rules • Supporting project delivery: • Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment) • Analyzing and interpreting the findings • Delivering high quality technical solution to the customer • Drawing conclusions and recommendations- including expected benefits

🎯 Requirements

• 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 • Fluency in Python and object programing, working knowledge of SQL and vector database • Solid experience with Databricks is a must • Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude • Experience in working with Azure or GCP will be a plus • Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision will be a big plus • Experience with microservice architectures • Experience with code repositories and code assistants • Strong business acumen • Ability to come up with creative solutions to address customer problem • Ability to lead juniors in project team