Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.
Design AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AL solutions to meet the business requirements.
Understand clients' needs and translate business problems into data science problems.
Oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.

Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
Proven expertise in deploying solutions in cloud environments (AWS or Azure).
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency in English (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge of CI / CD principles (GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes and Docker.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
Leadership and mentoring experience is a plus.

Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
Choose from various employment options: B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Data Scientist / ML Engineer

Key skills