Machine Learning Engineer (offline)

ABOUT THE PROJECT

We are looking for a Machine Learning Engineer for our partner company.
Based on different types of data, candidates can create machine learning/deep learning models. Ability to work in short iteration cycles (up to 2 weeks) from initial research to PoC prototype. Ability to work simultaneously on multiple tasks. Ability to work in a solo or a small team and be responsible for the final results. Lots of educational and self-educational activities.

RESPONSIBILITIES:

• Collecting, transforming, and preprocessing raw data to prepare it for modeling.
• Building machine learning and deep learning models.
• Designing, developing, training, and testing models and algorithms.
• Providing comparative research on different algorithms and models.
• Implementing the model in a form that can be easily used by engineers, documenting its interfaces.
• Delivering the model in a form that can be easily deployable and maintained.

REQUIRED SKILLS

Machine learning engineer develops deep learning / machine learning models, improves existing solutions, and provides results in a form that can be easily deployed, used and maintained.
Machine learning engineer works with a full cycle of ML project development, including searching and preparing datasets, creating deep learning models, testing and comparing, and preparing packages for deploying.

Specialized knowledge:
• Understanding theoretical concepts of machine learning and neural networks.
• Understanding theoretical concepts of deep learning architectures.
• Understanding how these theoretical concepts could be applied to real-world problems.
• Knowledge and hands-on experience with Python or other relevant programming languages.
• Knowledge and hands-on experience with ML/DL frameworks (PyTorch, TensorFlow etc.).
• Knowledge and hands-on experience with tools for data preprocessing and scraping.

Skills and abilities:
• Strong English verbal and written communication skills.
• Ability to work independently with limited supervision.

Experience:
• Track record in deep learning, data science, machine learning.
• Relevant levels of theoretical knowledge in data science and machine learning.

About Bolt

Bolt is one of the fastest-growing startups in the world with over 75M happy customers in 45+ countries, from Europe to LatAm to Africa.

We’re building the future of mobility – one platform that connects you with cars, motorcycles, scooters and e-bikes, or food delivery from your favourite restaurant. Fast, convenient and affordable service for everyone.

We believe in a future with less car ownership and flexible urban mobility. By bringing reliable on-demand transport to the masses, we’re helping cities evolve towards decreased traffic congestion and pollution. Having reached a unicorn status in just 5 years, we’re all about hyper-fast growth. And we’re just getting started.

Let’s build the future of transportation together!

We're looking to provide a tight web of services for every distance, price range, or customer need, covering everything from cars to motorbikes to scooters.

- We use microservices architecture, node.js, AWS, Docker, Redis, and many other technologies.
- Kotlin, RxJava for our Android, Swift for IOS and offer freedom to choose own tools.
- Dynamic graph optimization, geospatial analysis, automating ML (incl. GPUs) +RL, GA, sequence modeling on ML and Data Science side
- Self-driving car systems are on the way here.

Company website:
https://careers.bolt.eu/

DOU company page:
https://jobs.dou.ua/companies/bolt/