Software Engineer, ML/Data Pipeline

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.
• Opportunity to experiment with new frameworks, paradigms, architecture and freedom to put cutting-edge 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.
• Knowledge of AWS, Docker, MongoDB.
• Self-organization, initiative, active life position.
• Experience with PyTorch, 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.

Hiring process

• Test task.
• Technical interview.
• Final interview.