Back to SearchLead Machine Learning Engineer
Remote in Portugal
Data Science
& 4 others
Portugal
We are seeking a skilled and motivated Machine Learning Engineer to join our team.
In this role, you will be instrumental in building a robust and efficient pipeline. You will take on responsibilities such as deploying to the Kubernetes cluster and designing the generation pipeline to ensure seamless model execution.
Responsibilities
- Design and implement the production generation pipeline
- Identify business problems addressable with machine learning
- Collect, clean, and prepare data for model training
- Prepare containers for Kubernetes deployment
- Monitor and troubleshoot the pipeline for any errors or performance issues
- Collaborate with other engineers and data scientists to optimize the pipeline and improve model performance
- Select suitable machine learning algorithms, build, and train models
- Stay updated with the latest advancements in machine learning infrastructure and deployment technologies
Requirements
- 5+ years of experience in machine learning engineering with a focus on classification metrics for machine learning
- Leadership experience in data science projects
- Background in Python programming and machine learning libraries like PyTorch and Lightning
- Understanding of containerization technologies like Docker and familiarity with Kubernetes
- Proficiency in cloud platforms like Amazon Web Services, specifically S3 and EC2 instances
- Experience in Databricks
- Analytical and problem-solving mindset
- Fluency in English at B2 level or higher
Nice to have
- Certifications in machine learning or data science
- Knowledge of diffusion models architecture
- Familiarity with model deployment tools like Weight & Biases and SageMaker Endpoints
- Experience with Git and version control systems
- Basic understanding of model compression techniques
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