Position: ML engineer
Company: Mobilunity
Experience required: 5y
English level: upper

Mobilunity is a Ukrainian-based and operated provider of software engineering teams. Our typical clients are European, American and Japanese startups and small-to-mid sized companies working with our teams as permanent and equal extensions to their own software departments. With our collaboration model, engineers get direct access to the client’s technical management and work hand-in-hand with their peers both on the client’s side and in Ukraine. We as the Vendor ensure all non-tech questions are solved in a supportive manner. Joining Mobilunity you will get the best from both worlds – strong support and a big community locally, and an ambitious international team.

Our Customer is an Israel startup on the initial stage with funding secured. Their mission is to make business-centric AI easy to use, safe, and accessible to everyone. All their engineers are Kubernetes experts, they develop cutting-edge technologies, and strive to get the best user experience and efficiency for the customers. They are building an end-to-end data lifecycle management platform. It is the first company to provide this kind of service as a no-code platform, where complex pipelines are built in a visual IDE.
To be more specific: they will let customers to build complex ELT/ETL + ML pipelines without writing a single line of code.

**What’s on you:**

- Work closely with the software development and research teams to create efficient training  schemes for deep-learning-based algorithms
- Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies
- Develop machine learning and deep learning models for time series and tabular data
- Learn and Implement cutting-edge ML algorithms
- Create and automate data pipelines including data extraction, validation & anomaly detection,  indexing, and other data-related tasks
- Follow your project from ideation to implementation

**Requirements:**

- Strong Python background, proficiency with ML libraries (Scikit-Learn, Pandas,  Pytorch, TF, etc.)
- Practical experience with tabular data and time series
- Experience in Microservices architecture, cloud technologies, Docker/K8s
- Ability to design and own a feature through all its phases
- Upper Intermediate English level

**Nice to have: **

- 2+ years as a Machine learning Engineer
- Experience with training, testing, deployment, and monitoring real-time (or near real-time)  machine learning models in production
- Experience with data pipelines / big data compute
- B.Sc in Mathematics/Statistics/Physics/Computer Science or a related field
- M.Sc. in computer science, electrical engineering, Physics, or related areas from a top university. PhDs – very strong advantage

**In return we offer:**

- The friendliest community of like-minded IT-people
- Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
- Mobilunity Medical Insurance program designed to attend our teams’ needs
- Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
- Fair salary and 100% taxes coverage – don’t worry about possible taxes raise – we will get you covered
- Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
- No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones on all of the 3 floors
- English classes in 1-to-1 & group modes with elements of gamification
- Neverending fun: sports events, tournaments, music band, multiple affinity groups

**COME ON BOARD, AND LET’S GROW TOGETHER!**