About the role

Designs and deploys AI solutions from PoC to production.
Implements and integrates AI models and ML pipelines.
Maintains models with MLOps practices.
Works with data for feature engineering and quality.
Collaborates in a multicultural team environment.

Skills the posting asks for

Python
MLOps
AI
SQL
TensorFlow

Summarised from the employer’s posting, which is reproduced in full below.

The employer’s full posting

Company Description

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.

Job Description

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

Qualifications

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.

Additional Information

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).