Data Engineer (Machine Learning)
All
Kyivstar.Tech – IT /
Full-Time (Full Remote) /
Remote
Our company continues to grow actively, so we're currently seeking an Data Engineer (Machine Learning) to join our newly established outsourcing team. This role involves developing a new direction within the company and collaborating with clients of various sizes and industries, including Kyivstar, to deliver software development services tailored to their specific requirements.
About us:
Kyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City. We are a subsidiary of Kyivstar, one of Ukraine's largest telecom operators.
Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users' needs.
Over 500+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services.
We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new.
What you will do:
- Design, build, and maintain efficient, reusable, and reliable data pipelines to support machine learning models
- Work closely with data scientists to implement and deploy scalable machine learning models
- Ensure data quality and integrity throughout our data architecture
- Optimize data retrieval, develop dashboard solutions, and perform data analysis to support business decisions
- Stay updated with advances in data persistence and big data technologies
- Incorporate new data management technologies and software engineering practices into existing structures.
Qualifications and experience needed:
- Proven experience as a Data Engineer or in a similar role, with a focus on machine learning projects
- Strong programming skills in Python, including experience with Pandas, NumPy, and Scikit-learn
- Experience with big data tools (Hadoop, Spark)
- Experience with data processing architectures (Lambda, Kappa)
- Proficiency in building and optimizing 'big data' data pipelines, architectures, and data sets
- Experience with machine learning algorithms and how to scale them
- Familiarity with data pipeline and workflow management tools: Luigi, Airflow, etc.
- Knowledge of cloud services (AWS, Google Cloud Platform, Azure) and their data processing tools
- A solid understanding of SQL and experience with relational databases, as well as NoSQL databases
- Strong analytical skills related to working with unstructured datasets
- Upper-intermediate English level
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field.
What we offer:
- Office or remote — it's up to you: you can work from anywhere, and we will arrange your workplace
- Remote onboarding
- Performance bonuses for everyone (annual or quarterly — depends on the role)
- We train employees: with the opportunity to learn through the company’s library, internal resources, and programs from partners
- Health and life insurance
- Wellbeing program and corporate psychologist
- Reimbursement of expenses for Kyivstar mobile communication
