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Data Engineer (retraining to Machine Learning Engineer) in EPAM Ukraine

29 March

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1 application   0 responses

EPAM Ukraine
EPAM Ukraine
Software Engineering & Product Deve
5
1 review
Yuliia Dieriugina
Yuliia Dieriugina
Talent Acqisition Operations Specialist
Without experience
Intermediate
Full-time work
Are you a highly skilled and motivated Data Software Engineer with a passion for Machine Learning? We have an exciting opportunity for you to be a key player in our Machine Learning Engineering (MLE) team based in Ukraine.

Are you a highly skilled and motivated Data Software Engineer with a passion for Machine Learning? We have an exciting opportunity for you to be a key player in our Machine Learning Engineering (MLE) team based in Ukraine. At Epam, we are committed to driving innovation and evolving cutting-edge data solutions.

Why Join Us?

Cutting-Edge Technology: As a Big Data Software Engineer, you will be at the forefront of developing and optimizing data-driven solutions with a primary focus on Machine Learning.

Training and Certification: We invest in your growth. The selected candidate will undergo a two-month training period as part of the probation, with the opportunity to obtain a Databricks certification. The associated costs will be covered by Epam.

Dynamic Team Environment: Collaborate with a dynamic MLE team, working together to design and implement groundbreaking data-driven solutions.

#LI-IK2

Responsibilities

  • Innovative Collaboration: Collaborate with the MLE team to design and implement cutting-edge data-driven solutions
  • Data Pipeline Development: Develop and maintain data pipelines for machine learning applications
  • Python and SQL Mastery: Utilize Python and SQL to manipulate and analyze large datasets
  • Cloud Expertise: Work with cloud platforms, with a priority on Azure, AWS, or GCP
  • Advanced Techniques: Explore and implement advanced data processing techniques using Databricks and Spark
  • Quality Assurance: Participate in code reviews, debugging, and troubleshooting to ensure high-quality deliverables
  • Continuous Learning: Engage in continuous learning and stay updated on emerging trends in data engineering and machine learning

Requirements

  • 3+ years of hands-on experience in Software Engineering roles
  • Education: Bachelor's degree in Computer Science, Data Science, or a related field
  • Technical Skills: Proficient in Python, strong SQL skills, and experience with at least one cloud platform (Azure, AWS, GCP), DevOps toolset – any of Docker/Kubernetes(K8s)/Terraform/AWS CloudFormation/Azure Resource Manager/Google Cloud Deployment Manager/Ansible
  • Communication Skills: Upper-intermediate English level, both spoken and written (B2)

We Offer

  • Competitive compensation depending on experience and skills
  • The individual career path
  • Social package - medical insurance, sports
  • Compensation for sick lists and regular vacations
  • English classes with certified English teachers
  • Unlimited access to LinkedIn learning solutions
  • Flexible work hours

About EPAM

  • EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 61,600+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence

Specializations: Security Engineer, BI Machine, Machine Learning
Keywords: engineer, machine, learning, data, retraining
Without experience
Intermediate
Full-time work
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