Back to SearchSenior Machine Learning Engineer
Remote in Portugal
Machine Learning Engineering
& 4 others
Portugal
We are seeking an experienced Senior Machine Learning Engineer to join our team and contribute to the development of advanced AI-driven solutions.
In this role, you will design, implement, and optimize machine learning models and pipelines to solve complex business challenges. You will collaborate with cross-functional teams to drive innovation and ensure the scalability and efficiency of machine learning systems.
Responsibilities
- Design and develop scalable machine learning models and algorithms to address business needs
- Build and maintain robust data pipelines to support model training and deployment
- Collaborate with data scientists and engineers to refine and optimize ML solutions
- Implement and manage CI/CD pipelines for machine learning workflows
- Monitor and improve model accuracy and performance over time
- Analyze large datasets to extract meaningful insights and support model development
- Stay up-to-date with the latest advancements in machine learning and AI technologies
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 3 years of experience in machine learning engineering or a related role
- Proficiency in Python for developing machine learning models and data pipelines
- Hands-on experience with CI/CD tools and practices for deploying ML solutions
- Strong knowledge of AWS services for machine learning and data processing
- Fluent English skills, both written and spoken, at a B2 level or higher
Nice to have
- Experience with Snowflake for data storage and analytics
- Familiarity with advanced frameworks like TensorFlow or PyTorch
- Exposure to MLOps practices and tools for managing machine learning systems
We offer/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