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Data Engineer (retraining to Machine Learning Engineer)

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Ukraine

Offer summary

Qualifications:

3+ years experience in Software Engineering, Bachelor's degree in Computer Science or related fields, Proficient in Python and SQL, Familiarity with cloud platforms like Azure, AWS, GCP.

Key responsabilities:

Developing and maintaining data pipelines for machine learning
Engaging with the MLE team to execute data-driven solutions

EPAM Systems XLarge http://www.epam.com

10001 Employees

See more EPAM Systems offers

Job description

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.