Machine Learning Engineer

• 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, Google Cloud Platform, Azure) for deploying and maintaining ML solutions

• 3+ years of experience as a Machine Learning Engineer in production projects
• Practical experience with cloud platforms (AWS, Google Cloud Platform, Azure)
• Experience with MLOps platforms/technologies (AWS SageMaker, Azure ML, Databricks, Google Cloud Platform 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

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 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)

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.

Why Choose Us