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!
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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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 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)