Вже 20 років ми працюємо з ринками Ізраїлю, Європи, Америки та Канади. Наша місія — допомогати молодим компаніям втілювати свої ідеї в життя. Ми маємо понад 200 успішних проектів та 300 млн. інвестицій, отриманих стартапами. У нашій компанії працюють 150+ розробників рівня Senior та Middle, що з радістю поділяться своїм досвідом.
31 січня 2023

Data Engineer Team Lead (вакансія неактивна)

Київ, Харків, Лісабон (Португалія), Варшава (Польща), віддалено

MWDN company is looking for a self-motivated and goal-oriented Data Engineer Team Lead who would like to be a part of a team working on brand-new startup projects for foreign customers.

We Offer:

  • People-oriented management without bureaucracy
  • The friendly climate inside the company is confirmed by the frequent comeback of previous employees
  • Flexible working schedule
  • Paid time off (21 working days per year, plus all national holidays and 10 sick days)
  • Full financial and legal support for private entrepreneurs
  • Education compensation
  • Free English classes with native speakers or with Ukrainian teachers (for your choice)
  • Dedicated HR


  • Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day responsibilities will include:
  • Design, Develop, Test, and Maintain ETLs and services for integrating with our customer’s various data systems.
  • Design, Develop, Test, and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
  • Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
  • Develop end-to-end algorithmic solutions for complex ML problems — from research and training models, through design, development, evaluation, and optimization.
  • Develop train and inference engine pipelines in a large-scale distributed system. Transform NLP and data-related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
  • Design, Implement and Optimize ML/DL and research pipelines to improve the algorithm’s performance. Transform high-level product requirements into technical requirements
  • Brainstorm and prototype algorithmic improvements.
  • Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
  • Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).


  • Proven track record in MLOps and/or in Data Engineering
  • High proficiency in Python
  • 7+ years of hands-on experience in engineering in production environments Experience in the following technologies: Dockers, Kubernetes, Aws, MongoDB End to end experience — owning feature from an idea stage, through design, architecture, coding, integration, deployment, and monitoring stages
  • Ability to assume leadership position(s): technical leadership and/or managerial leadership when needed
  • Ability to perform technical product management
  • English level at least upper-intermediate or higher.


  • M.Sc. (Ph.D. preferred) in Computer Science, Engineer, or equivalent, ideally with a thesis in deep learning
  • Hands-on experience with the design, implementation, and optimization of deep learning models using common frameworks (TensorFlow, PyTorch, HuggingFace, etc.)
  • Working with medical data on healthcare data projects
  • Experience in the following technologies: Spark/Hadoop, Airflow, Redis, Kafka Go programming language proficiency

About the project:

Our client implements Artificial Intelligence innovations in medical coding. They believe that medical coding should become fully automated and they know how to help this to happen.