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Senior Machine Learning Engineer
Sorry, this position is no longer available
We are looking for a remote Senior Machine Learning Engineer to join our team.
You will be responsible for leading and driving innovative projects related to automatic structuring and understanding of unstructured content for our projects. You will be tasked with designing efficient deep learning-based solutions and ensuring high-quality deliverables with a focus on scientific research, experimentation, and optimal design.
Responsibilities
- Influence the strategy and vision of ML/DL research, tools, pipelining, optimization, deployment, and MLOps for the AI department
- Build and optimize ML/DL training, testing, and inference pipelines for the latest GPU hardware and environments
- Develop modern DL architectures optimized to meet production requirements
- Productionize neural AI/ML projects
- Analyze, transform, and bootstrap datasets
Requirements
- 3+ years of experience as a software engineer on machine learning projects
- BS degree in math and computer science, or related field
- Solid understanding of deep learning methods and their mathematics
- Practical experience in ML/DL modeling with TensorFlow, Keras, PyTorch, and/or other DL frameworks
- Hands-on experience with deployment of ML models to production environments
- Algorithmic skills
- Developed programming skills (Python)
- B2+ English level
Nice to have
- Solid understanding and experience with DL for NLP
- Familiarity with algorithms and data structures
- Experience with C++ programming
- Linux user experience
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