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Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments.
We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively.
We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world.
We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market.
Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services.
Learn more at www.epam.com.
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.
Responsibilities
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
Requirements
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)
Nice to have
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
We offer
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
EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.