We are looking for an experienced Senior Machine Learning Engineer to join our team.

In this position, you will be responsible for creating, deploying, and supporting machine learning solutions that align with project goals. You will work closely with cross-functional teams to identify business requirements, gather data, and build scalable machine learning workflows.

Responsibilities

• Create and implement sophisticated machine learning models and algorithms
• Build scalable machine learning workflows using Apache Spark and Databricks
• Apply MLOps strategies to enhance model deployment and monitoring
• Utilize Microsoft Azure for cloud-based machine learning operations
• Collaborate with data scientists and stakeholders to clarify and document business needs
• Evaluate and improve machine learning models for better accuracy and efficiency

Requirements

• At least three years of experience in machine learning engineering
• Expertise in Apache Spark and Databricks
• Practical experience with MLOps approaches
• Proficient in using Microsoft Azure for cloud machine learning
• Advanced programming skills in Python
• Ability to work PST hours, available until 8 pm Kyiv time
• English fluency at B2+ level or higher, both written and spoken

Nice to have

• Background with Docker and Kubernetes
• Knowledge of LangChain and large language models
• Familiarity with natural language processing

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn