Data Scientist (ML/AI/Databricks, Ukraine)

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Our client is a leading data and AI company that helps organizations accelerate innovation by unifying data, analytics, and AI. Our platform enables data teams to collaborate and build data-driven solutions at scale.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and AI solutions
• Deploy and maintain production-level machine learning systems
• Contribute to the development of generative AI and NLP projects
• Manage and optimize data pipelines and infrastructure
• Collaborate with cross-functional teams to deliver high-impact data science solutions
• Stay current with the latest advancements in AI/ML and apply them to solve complex business problems
  
  

Requirements

• Knowledge in Physics, Mathematics, Engineering, or a related quantitative field
• 3+ years of experience in AI/ML
• 2+ years of implementation experience as a customer facing consultant, including customer-facing GenAl
• Proven experience in deploying machine learning models to production environments
• Hands-on experience with generative AI technologies and natural language processing
• Proficiency in infrastructure management, including:
• Docker containerization
• Pipeline management tools
• Database systems
• Experience working with Databricks platform
• Experience with Azure cloud

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

What You Will Love About Working Here

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
• The Gift from the Company - Christmas holidays from December 25 to December 31.
• Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.
  
  

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.