Overview

We are looking for a Senior Machine Learning Engineer to join our team and drive the development, deployment, and support of advanced ML solutions in a production environment. You will work in a cross-functional team, implement engineering best practices, automate ML processes, and integrate models into complex data-driven systems.

Responsibilities

  • Design, develop, and maintain production-grade machine learning models
  • Automate ML pipelines using modern tools (e.g., Databricks, Azure ML, AWS SageMaker)
  • Integrate ML solutions into complex data-driven systems
  • Work with large-scale data using Apache Spark or alternative technologies
  • Apply and promote engineering best practices and MLOps principles
  • Collaborate with Data Science, Data Engineering, DevOps, and other teams
  • Support various data processing paradigms (batch, micro-batch, streaming)
  • Utilize cloud platforms (AWS, GCP, Azure) for deploying and maintaining ML solutions

Requirements

  • 3+ years of experience as a Machine Learning Engineer in production projects
  • Practical experience with cloud platforms (AWS, GCP, Azure)
  • Experience with MLOps platforms/technologies (AWS SageMaker, Azure ML, Databricks, GCP Vertex AI)
  • Hands-on experience with the Python ML ecosystem (NumPy, pandas, XGBoost, Keras, PyTorch, TensorFlow, scikit-learn)
  • Experience with creating microservices for model serving
  • Experience with Apache Spark (Spark SQL, MLlib/Spark ML) or alternative technologies
  • Experience automating pipelines and workflow management (Airflow, Argo Workflow, etc.)
  • Proficiency in modern engineering practices (CI/CD, git, GitHub, Docker)
  • Experience with different data processing paradigms (batch, micro-batch, streaming)
  • Excellent communication skills and experience working in cross-functional teams
  • English language proficiency at an Upper-Intermediate level (B2) or higher

Georgia (Production)

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 Udemy
  • 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)

[epamgdo] Georgia (Cloud)

To discover more about Cloud practice at EPAM Georgia, visit this page.

[epamgdo] Georgia (Remote)

Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

[epamgdo] Georgia (About EPAM)

EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.