We are seeking a Lead Data Scientist with expertise in Generative AI technologies, Python, and scalable machine learning solutions to design and deliver impactful AI applications. This role combines technical leadership with collaboration, driving innovation while aligning with business objectives.
In this role, you will design and scale a sophisticated chatbot application leveraging Generative AI to simplify workflows and answer natural language questions by retrieving insights from APIs and unstructured data sources.
Responsibilities
- Combine technical leadership with strategic oversight to guide AI/ML initiatives
- Own and manage the lifecycle of AI/ML models, from code development and evaluation to production deployment
- Optimize and fine-tune models to ensure accuracy and high performance in real-world scenarios
- Implement robust model evaluation and drift testing processes to maintain reliability
- Establish and enforce coding and model standards to ensure production-grade quality
- Collaborate closely with engineering and business teams to define project objectives, requirements, and roadmaps
- Deliver scalable AI solutions, advancing prototypes to production-ready systems
Requirements
- 5+ years of professional experience in Data Science
- 1+ years of leadership experience in relevant roles
- Proven proficiency in NLP/LLMs/GenAI methods
- Advanced Python skills, with expertise in TensorFlow, PyTorch, and Scikit-Learn for AI model development
- Proven expertise in building and deploying production-grade AI/ML models with robust pipelines, monitoring practices, and operationalization in real-world environments
- Strong background in data analysis and probability for model interpretation and insights
- Proficiency in Azure and/or AWS cloud platforms for scalable, reliable deployments
- Capability to define and uphold high-quality coding practices for maintainable and efficient systems
- Excellent communication skills for explaining technical concepts effectively to technical and non-technical stakeholders
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
- Experience with DevOps practices such as CI/CD pipelines, code versioning, and automated testing frameworks
- Familiarity with MLflow for tracking experiments and enhancing model deployment workflows
We offer/Benefits
For your comfortable work:
- Remote and hybrid work opportunities
- Option to work from our centrally located office in Athens
- Corporate laptop provided
- Private health insurance
- Meal vouchers / restaurant tickets
- My Benefit card (264€/year)
- Monthly public transportation card
For your growth:
- Global and diverse client portfolio, large-scale projects, and trendy technologies
- Diverse multicultural, multi-functional, and multilingual work environment
- Opportunity to contribute to internal and open-source products
- Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
- Possibility to create a Personal Development Plan from the first day in the company
- Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
- Certification opportunities
- Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
- Language courses
The remote option applies only to the Candidates who will be working from any location in Greece.
EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.
