We are currently seeking a motivated and innovative Lead Generative AI Data Scientist to join our dynamic team.
In this crucial position, you will spearhead key use case evaluations, architectural designs, and the creation of innovative generative models that tackle complex business challenges. Your understanding of machine learning, deep learning, and statistical modeling will significantly contribute to EPAM's advancements. Utilize your abilities to propel the boundaries of AI technology in this exciting role.
The remote option applies only to the Candidates who will be working from any location in Greece.
#LI-DNI#LI-YAROSLAVADIAKOVA
Responsibilities
- Maintain a leadership position in generative AI, deep learning, and related fields through continuous research
- Design, develop, and deploy tailored generative models for specific use cases
- Collaborate with data engineers and domain experts to process and enhance large-scale datasets
- Train and assess generative models using extensive datasets to establish effectiveness and drive improvements
- Partner with a diverse team, providing technical guidance and support for the seamless integration and deployment of generative AI solutions
- Explore new methods and tools to enhance generative model performance and keep abreast of industry trends
- Compile detailed technical documentation and communicate findings to aid organizational decisions and knowledge sharing
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- Extensive experience in building and applying generative models, such as GANs, VAEs, and deep generative models
- Proficiency in programming languages like Python, and in deep learning frameworks like TensorFlow or PyTorch
- Solid understanding of machine learning, deep learning, and statistical modeling concepts
- Background in managing large-scale datasets and implementing preprocessing techniques
- Skills in data visualization and exploratory analysis tools
- Exceptional problem-solving capabilities with a capacity to develop new solutions
- Strong communication skills for articulating complex topics to diverse audiences
- Demonstrated ability to collaborate and contribute to complex projects
- Strong research and self-learning qualities, with a passion for staying updated on generative AI and related technologies
- Background in natural language processing (NLP) and text generation models
- Familiarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud, or AWS
- Knowledge of parallel computing and distributed training frameworks
- Contributions to the research community in generative AI or related fields
- For you:
- Paid annual vacation
- Paid sick leave days
- Private health insurance
- Stable income
- Meal and home office compensation
- For your comfortable work:
- Remote and hybrid work opportunities
- Corporate laptop
- Possibility to work on your own device
- Free licensed software
- Relocation opportunities
- Free wellbeing activities
- For your growth:
- Possibility to create a Personal Development Plan from the first day in the company
- Free trainings for technical and soft skills
- Free access to LinkedIn Learning platform
- Free access to internal and external e-Libraries
- Certification opportunities
- Language courses
- Internal technical and non-technical communities
- Possibility to contribute in internal, opensource products
EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.