Position: Senior ML Engineer
Company: Grid Dynamics
Category: Data Science
Experience required: 5y
English level: upper

Responsibilities:

- Ability to manage and own the product roadmap, design, and technical development cycles for core AI/ machine learning platform and services. 
- Develop a thorough understanding of the services, front end changes, ML strategies and feature engineering, modeling, result analysis to deliver on the KPIs for the success of the program. As we track the results and find gaps, propose approaches to close those gaps towards a successful deployment.
- Communicate with business stakeholders to clarify their requirements and present the teamwork results.

Requirements:

- 5+ years of technical product management and data science experience, with project experience in AI/ Machine Learning and enterprise software 
- Bachelor of Science in Computer Science, Engineering, Statistics, or similar field and Master of Science or Business Administration degrees 
- Hands-on experience with machine learning frameworks and techniques, including, e.g.,TensorFlow, PyTorch, machine vision, NLP, and be fluent in the infrastructure and processes required to develop and operate machine learning models at scale.
- Has a constant pulse on the market, and clearly communicate complex technical topics between engineering, data science, and business leaders. 

We offer:

- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Flexible schedule
- Medical insurance
- Benefits program
- Corporate social events
- Professional development opportunities