Senior Data Scientist

technologies-expected :

- Python
- Docker
- Machine Learning
- LLMs
- GenAI
- Data Science
- AWS
- AI Agents

technologies-optional :

- Kubernetes
- CI/CD
- RAG

about-project :

- As a Senior Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
- AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
- AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

responsibilities :

- Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
- Lead the design of AI solution architectures that meet complex business goals and drive innovation.
- Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
- Understand clients’ needs and translate business problems into data science problems.
- Architect and 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.

requirements-expected :

- Proven commercial experience (+5 years) designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, 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 (AI agents, 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.

offered :

- 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, including a partnership with Databricks, which offers industry-leading training materials and certifications.
- Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off.
- 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.
- With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
- Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

benefits :

- sharing the costs of sports activities
- private medical care
- sharing the costs of professional training & courses
- remote work opportunities
- flexible working time
- integration events
- no dress code
- video games at work
- coffee / tea
- drinks
- christmas gifts
- birthday celebration
- employee referral program
- Reimbursement for prescription glasses or contact lenses