AI Engineer

Talan – Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications. What would you be doing? Designs, builds, and deploys AI solutions (LLMs and traditional machine learning models), from Proof of Concept (PoC) to production. Responsibilities: Implementing and integrating AI models (fine-tuning, RAG, ML pipelines) Deploying models to production and maintaining them (MLOps, monitoring, evaluation) Working with data: feature engineering, data quality, and dataset preparation What are we looking for? Python and key libraries (PyTorch/TensorFlow, scikit-learn, LangChain/LlamaIndex) LLM technologies: prompt engineering, RAG, fine-tuning, embeddings, vector databases (e.g., Qdrant, pgvector) Traditional ML: supervised and unsupervised learning models, evaluation, and validation MLOps: containerization (Docker/Kubernetes), CI/CD, MLflow, model serving (vLLM, Triton) SQL, cloud platforms and/or on-premises infrastructure Independently delivers tasks within a defined solution architecture. English and Polish speaker. What do we offer you? We offer: Full-time and permanent employment contract or contractor mode Hybrid setup in Warsaw Offices. Professional growth possibilities & learning opportunities Possibility to join a multicultural team & work in the international environment Variety of benefits to support your physical, emotional and financial wellbeing: private medical insurance, life insurance, lunch and transport card as part of the flexible remuneration pack, and online language classes Smart Office Pack If you are passionate about data, development & tech, we want to meet you! Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).