Machine Learning Engineer

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

AI Solution Development

• Design and develop agentic systems, machine learning models, and AI algorithms.
• Lead the implementation of scalable AI products aligned with business and user needs.
• Deploy and operate AI/ML solutions in cloud environments (AWS preferred).
• Ensure reliability, performance, and maintainability of AI systems in production.

Data & Model Engineering

• Design and oversee scalable data pipelines across cloud and hybrid environments.
• Lead data preprocessing, ingestion, and transformation activities.
• Establish data quality controls and monitor data drift.
• Guide model training, evaluation, tuning, and performance optimization.

Integration & Deployment

• Integrate AI components into existing systems and workflows.
• Manage production deployments, monitoring, versioning, and maintenance.

Collaboration & Communication

• Collaborate with stakeholders to gather requirements and deliver effective AI solutions.
• Maintain clear technical documentation.
• Communicate complex AI concepts to both technical and non-technical audiences.

Research & Innovation

• Stay up to date with emerging AI technologies and best practices.
• Experiment with new approaches to improve existing and future solutions.

Qualifications

Required Skills

• Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
• Hands-on experience building and deploying AI and ML systems.
• Strong proficiency in Python.
• Experience with agentic frameworks (e.g. LangChain, pydantic-ai, strands, Agent-ai).
• Solid knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience in NLP, computer vision, or related AI domains.
• Familiarity with cloud platforms (AWS preferred, Azure or GCP welcome).
• Strong analytical and problem-solving skills.
• Excellent communication skills.
• Experience working in cross-functional teams.
• Familiarity with Agile methodologies (Scrum, Azure DevOps).
• Polish skills

Additional Information

What do we offer you?

• Hybrid position based in Warsaw, Poland.
• Chance to work in a challenging, multicultural environment with international projects.

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).