Overview
Full Time
Skills
Scrum
Advanced Analytics
Optimization
Collaboration
Python
Data Science
Machine Learning (ML)
Algorithms
Data Wrangling
Unstructured Data
Cloud Architecture
Kubernetes
Docker
Amazon SageMaker
Communication
Leadership Development
Soft Skills
Google Cloud Platform
Google Cloud
Microsoft Azure
Amazon Web Services
LinkedIn
English
Job Details
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.
RESPONSIBILITIES
REQUIREMENTS
WE OFFER
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.
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
REQUIREMENTS
- 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 OFFER
- 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 Google Cloud Platform, 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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.