Senior Machine Learning Engineer

We are seeking a passionate Senior Machine Learning Engineer to develop robust solutions to real-world, large-scale problems directly impacting the business.
You should have demonstrable experience in ML Engineering and working with a product model using Scrum. In this role, you will own projects end-to-end - from conception to operationalization - demonstrating a thorough understanding of the full ML model lifecycle. As a result, you will be expected to provide technical solutions and collaborate with your teammates, making strong communication skills critical.
If this resonates with you, kick-start the next exciting chapter of your career with EPAM!
Immerse yourself in our collaborative culture by working on-site at our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

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Responsibilities

• Develop and implement scalable applications with predictive models and optimization algorithms
• Analyze large datasets and deliver data-driven decisions
• Contribute to core advanced analytics and ML platforms to enable both prediction and optimization model development
• Collaborate with the international AAML team
• Translate business requirements into technical solutions

• 2+ years of relevant professional background
• Ability to write robust, maintainable and extendable code in Python
• Expertise in applied data science methods and machine learning algorithms
• Data wrangling experience with structured and unstructured data
• Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes and Docker)
• Competency in Amazon SageMaker
• Strong communication skills

• 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 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 and Get Abstract
  • 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)