📍 МоскваСанкт-ПетербургПолная удалёнка
Специализация
Data Science / Machine Learning
Cherry Labs is developing AI technologies for human actions analysis and providing security in the medical and technical fields.
Our current objective is to minimize the time of training models and their integration into product solutions. So at the moment we are looking for a talented engineer with ML\Data focus.
You will work as part of a small multi-disciplinary team, building infrastructure for real-time and batch pipelines to ingest and transform data from a variety of sources. You will have an opportunity to experiment with new frameworks and paradigms, and freedom to put cutting-edge tech in production.
Stack
PythonAWSDockerMongoDBPyTorchTensorFlowTableau
Responsibilities
- Building infrastructure for real-time and batch pipelines to receive and transform data from a variety of sources (ETL). One of the main goals of this module is ability for agile configurable for different business cases and ML Researchers team needs (DAG, ETL).
- Cross-functional teams collaboration (Backend Engineers, ML Researchers, Product and other stakeholders). Be responsible for the results, understand the business impact of your work, and don't be afraid of presenting it.
- Experiment with new frameworks, paradigms, architecture and putting tech in production.
Desired Skills & Experiences:
- Bachelor’s or Master's degree in Computer Science, Engineering or related field.
- Experience in industrial work from 2 years with Python.
- Experience with PyTorch.
- Knowledge of AWS, Docker, MongoDB.
- Self-organization, initiative, active life position.
As a plus:
- Experience with TensorFlow, TensorRT, Triton Inference Server, ClearML (Allegro AI).
- The ability to create servers that can withstand heavy loads.
- Knowledge of the main network protocols, their variations and features.
- Great Architectural experience, SOLID principles.
Company offers
- Strong and friendly team with extensive experience in computer vision, world-class experts and advisors.
- Flexible schedule within the 40-hour week.
- Possibility of relocation in the USA.
- Corporate training and bonuses.
- Everything you need for remote work.
Татьяна Рыбачук HR Manager
