We are looking for a Middle Data Scientist who possesses expertise in classical Machine Learning and is passionate about exploring new technological stacks such as NLP (Natural Language Processing), CV (Computer Vision), Time Series, MLE/MLOps (Machine Learning Engineering) and Recommendation Systems.

In this role, you'll have the opportunity to work on diverse projects. If you enjoy embracing fresh challenges, we invite you to apply and join our team.
This position offers remote setup with the flexibility to work from any location in Georgia, whether it's your home, a well-equipped office in Tbilisi or coworking spaces in Batumi and Kutaisi.

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• Collaborate with EPAM's clients and internal teams to implement AI/ML-driven solutions
• 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

• At least 3+ years of production experience in Data Science / Machine Learning
• Proficiency in Python ecosystem and data science libraries (pandas, sklearn, NumPy)
• Novice or intermediate knowledge of at least one domain from the list: Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, Recommendation Systems
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
• B2+ English, both verbal and written

• Familiarity with at least one Cloud provider (AWS, GCP, Azure)
• Expertise in Deep Learning
• Willingness to learn new technological stacks

• We connect like-minded people:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 50+ countries
  • Corporate and social events
• We invest in your growth:
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
  • Free English classes with certified teachers
• We cover it all:
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Five trust days per year (sick leave without a medical certificate)
  • Benefits package (sports activities, a variety of stores and services)