Senior Data Scientist
We are looking for a Senior Data Scientist with expertise in classical Machine Learning and proven production experience in one or more of the following domains: NLP (Natural Language Processing), CV (Computer Vision), Time Series, MLE/MLOps (Machine Learning Engineering/Operationalization) and Recommendation Systems.
In this role, you'll have the opportunity to work on diverse projects. If you thrive on tackling new challenges, we encourage you to apply and join our team.
Responsibilities
- Collaborate with EPAM's clients and internal teams to implement AI/ML-driven solutions
- Propose solutions and strategies to tackle business challenges
- Work closely with cross-functional teams to deliver business value to our clients
- Stay updated with the latest advancements in Data Science and Artificial Intelligence
Requirements
- At least 3 years of hands-on production experience in Data Science and Machine Learning
- Proven expertise in at least one of the following domains: Natural Language Processing (NLP), Large Language Models (LLM), Machine Learning Engineering, Time Series Analysis and Generative AI (GenAI)
- Strong proficiency in Deep Learning frameworks such as PyTorch or TensorFlow
- Solid experience with the Python ecosystem and data science libraries, including pandas, scikit-learn, and numpy
- Practical experience working with time series data and developing predictive models
- Familiarity with deploying and optimizing LLMs and GenAI solutions in real-world applications
- Nice to have: Experience with at least one major cloud provider (AWS, GCP, Azure)
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences
- Fluency in English (minimum B2 level)
Nice to have
- Familiarity with at least one Cloud provider (AWS, GCP, Azure)
