Lead Gen AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production (5+ years)
• At least 1 year of relevant leadership experience
• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g., TensorFlow, PyTorch and Scikit-Learn)
• Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code
• Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners
• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery
• English level of minimum B2 (Upper-Intermediate) for effective communication

• Own and lead the entire development lifecycle for AI/ML models, including code and model changes, unit testing, evaluation, and model drift testing to deliver reliable, scalable end-user systems
• Plan and manage the model improvement lifecycle – enhance the model, review model performance results, perform error analysis
• Identify opportunities to improve, scope the effort (experiments, fixes, etc.), and repeat the process iteratively until the success criteria for the use case are met
• Break down complex problems into manageable tasks, provide estimates on required effort, prioritize tasks, etc.
• Manage stakeholders with periodic updates on progress, aspirational delivery roadmap, etc.

This is a hybrid role requiring presence in the office in Gdansk 2 days a week.