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about-project :

As a Data Scientist, 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:
Development and deployment of advanced computer vision pipelines for the industry-leading European manufacturer. The solution is designed to enhance quality control on the production line by automating defect detection. It leverages state-of-the-art machine learning and image processing techniques to improve accuracy and efficiency.
AI-powered chatbot to streamline internal company processes. It will automate tasks, provide quick access to information, and integrate with internal systems to support workflow efficiency.
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.

responsibilities :

Develop, implement, and validate Machine Learning solutions tailored to specific project requirements.
Understand clients needs and translate business problems into data science problems.
Design scalable AI solution architectures.
Develop data pipelines and workflows, ensuring the highest standards of data qualityand security.
Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications.
Present findings and recommendations clearly and concisely to stakeholders.
Effectively plan tasks within an Agile/Scrum framework.

requirements-expected :

3+ years of commercial experience in developing and deploying ML solutions.
Hands-on experience designing and implementing scalable AI solutions and knowledge of applying LLMs and/or Computer Vision techniques.
Strong proficiency in Python and familiarity with common ML libraries.
High proficiency in English (minimum C1 level).
Experience deploying applications on cloud platforms (AWS or Azure).
Good knowledge of CI/CD principles (for example, GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes, and Docker.
Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience in a consulting role, working with external clients to design, develop, and deploy data-driven solutions.
Strong problem-solving and communication skills and ability to work in a team.

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 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.
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 :

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