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.
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.

#LI-DNI#July-Referral-Digest-AM#top-vacancies-10-AM

• 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

• 5+ years of production experience in Data Science / Machine Learning
• Expertise in Deep Learning (PyTorch or TensorFlow)
• Proficiency in Python ecosystem and data science libraries (pandas, sklearn, NumPy)
• Expert 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)

• 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 home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ 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 and O'ReillyFree
  • 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
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)