Senior Machine Learning Engineer
We are looking for a remote Senior Machine Learning Engineer with expertise in data science and strong technical skills in Python programming.
The ideal candidate will work on developing and implementing machine learning models and data processing algorithms for our project. As a member of the team, you will work closely with internal teams to develop tech solutions and tools for performance improvements. We need someone with excellent communication and analytical skills who can prioritize issues in a complex environment.
Responsibilities
- Design and develop Machine Learning models and data processing algorithms for new and existing customer implementations into Insight
- Work with multiple internal teams to develop tech-driven implementation solutions and create/enhance tools for performance improvement
- Understand and implement AI and Machine Learning techniques, particularly around computer vision and natural language processing
- Use Python programming to develop and implement AI models based on training sets
- Proven internal/external written and verbal communication, interpersonal and analytical skills
Requirements
- At least 3 years of experience in Machine Learning and AI techniques, particularly around computer vision and natural language processing
- Professional experience in Python programming, with knowledge of PyTorch and Tesnorflow libraries
- Strong knowledge of Supervised Learning algorithms
- Experience in developing AI models based on training sets
- Expertise in Deep Learning and NLP is a plus
- B2+ English level
Nice to have
- Knowledge of Cloud Technologies and solutions
- Proven experience in ML-related publication
- Good team player who can work well with others
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn