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

In this position, you will be responsible for developing, deploying, and supporting machine learning solutions tailored to project requirements. You will work closely with cross-functional teams to address business problems, gather data, and build scalable machine learning systems.

Responsibilities

• Create and implement advanced machine learning models and algorithms
• Build robust machine learning pipelines using Apache Spark and Databricks
• Utilize MLOps techniques to enhance model deployment and monitoring
• Leverage Microsoft Azure for cloud-based machine learning platforms
• Collaborate with data scientists and business partners to collect and define requirements
• Analyze and refine machine learning models to improve accuracy and efficiency

Requirements

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

Nice to have

• Experience with Docker and Kubernetes
• Familiarity with LangChain and large language models
• Knowledge of 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