Back to SearchSenior Machine Learning Engineer
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We are looking for a remote Senior Machine Learning Engineer to join our team and work on an exciting project involving Amazon Web Services. The project requires the development and deployment of Machine Learning (ML) models using various AWS components and tools. As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and implementing ML models, along with managing the entire ML lifecycle. You will also work closely with cross-functional teams and stakeholders to deliver high-quality ML solutions that meet business requirements.
Responsibilities
- Design, develop, and implement ML models using AWS components and tools, such as Amazon SageMaker
- Manage the entire ML lifecycle, from data preparation to model deployment and monitoring
- Work with cross-functional teams and stakeholders to understand business requirements and deliver high-quality ML solutions that meet those requirements
- Develop and maintain ML documentation, such as model design, training, and testing results
- Keep up-to-date with the latest ML technologies and trends, and apply them to improve existing ML solutions
- Collaborate with the team members to enhance technical and soft skills
Requirements
- Minimum of 3 years of experience in Machine Learning Engineering
- Proven experience in designing and deploying ML models using Amazon SageMaker and AWS ecosystem
- Expertise in Python
- Proficiency with entire ML lifecycle, from data preparation to model deployment and monitoring
- Experience in working with cross-functional teams and stakeholders to deliver high-quality ML solutions
- Strong communication skills, able to convey technical concepts to non-technical stakeholders
- Fluent in English language, with at least an upper-intermediate level competency for effective communication with the team and stakeholders
Nice to have
- Experience in building model artifacts and deploying them to the AWS ecosystem
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