Are you an accomplished Data Software Engineer with a passion for Machine Learning? We are offering an exciting role as a core member of our Machine Learning Engineering (MLE) team in Ukraine. At Epam, we are dedicated to pushing the boundaries of innovation and developing top-tier data solutions.
Why Join Us?
Innovative Technology: As a Big Data Software Engineer, you will lead the development and optimization of data-driven solutions with a strong emphasis on Machine Learning.
Professional Development: We support your professional growth. The chosen candidate will participate in a two-month training program during probation, with the chance to earn a Databricks certification, fully sponsored by Epam.
Energetic Team Environment: Engage with a vibrant MLE team, collaborating to create and execute innovative data solutions.

• Engaging in innovative collaboration with the MLE team to create and execute innovative data-driven solutions
• Developing and maintaining data pipelines tailored for machine learning applications
• Mastering Python and SQL to manage and analyze substantial datasets
• Specializing in cloud platforms, focusing on Azure, AWS, or GCP
• Applying advanced data processing techniques using Databricks and Spark
• Conducting code reviews, debugging, and troubleshooting to guarantee high-quality outputs
• Maintaining active engagement in ongoing learning to stay abreast of industry advancements in data engineering and machine learning

• Existing 3+ years' experience in Software Engineering roles
• Education qualification: Bachelor's degree in Computer Science, Data Science, or related fields
• Proficiency in Python, strong command of SQL, and familiarity with at least one cloud platform (Azure, AWS, GCP)
• Knowledge in any of the following DevOps tools: Docker/Kubernetes (K8s)/Terraform/AWS CloudFormation/Azure Resource Manager/Google Cloud Deployment Manager/Ansible
• Communication skills: Upper-intermediate proficiency in English, both verbally and in writing (B2)

• Experienced in working with Machine Learning models
• Knowledge in Big Data frameworks like Hadoop or Apache Spark
• Previous work in a fast-paced, tech-driven environment

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children