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Join our team as a Data Scientist to contribute to a Generative AI Proof of Concept project.
You will work on developing personalization features and recommendation systems using content and certification data, applying your expertise in AI and data engineering. If you are passionate about AI innovation and want to make a significant impact, we encourage you to apply.
Responsibilities
- Develop and implement AI models for personalization and recommendations
- Design and optimize data ETL processes for AI applications
- Apply Azure OpenAI Service capabilities to enhance AI solutions
- Conduct prompt engineering to improve generative AI outputs
- Integrate Retrieval-Augmented Generation techniques into AI workflows
- Collaborate with cross-functional teams to refine POC scope and deliverables
- Analyze and preprocess data to support AI model training and evaluation
- Document methodologies and results to ensure reproducibility
- Monitor AI model performance and suggest improvements
- Support deployment and maintenance of AI models in production environments
Requirements
- Experience in Data Science with 2+ years of relevant work
- Knowledge of Azure OpenAI Service and its application in AI projects
- Familiarity with Data Software Engineering principles and practices
- Understanding of Generative AI Fundamentals and Prompt Engineering
- Experience with Retrieval-Augmented Generation and Natural Language Processing
- Ability to design and implement content ETL processes for AI
- Strong analytical and problem-solving skills
- Effective communication and collaboration abilities
- English proficiency at B2 level or higher
Nice to have
- Experience in personalization and recommendation systems
- Knowledge of certification data handling and integration
- Familiarity with AI proof of concept project workflows
We offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Key Skills
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