Senior Machine Learning Engineer
Actively Hiring
Full-time Posted 7 months ago
Responsibilities
- check_circle Create scalable machine learning models and algorithms tailored to business requirements
- check_circle Maintain and enhance data pipelines facilitating model training and deployment
- check_circle Work closely with data scientists and engineering teams to improve ML solutions
- check_circle Develop and manage CI/CD workflows for machine learning projects
- check_circle Continuously monitor and refine model performance and accuracy
- check_circle Interpret large datasets to extract insights for model improvement
- check_circle Stay informed on the latest machine learning and artificial intelligence innovations
Basic qualifications
- Bachelor's degree in Computer Science, Engineering, or a comparable field
- At least 3 years of experience in machine learning engineering or a related position
- Advanced skills in Python for developing machine learning and data processing solutions
- Hands-on experience with CI/CD methodologies for ML deployment
- Comprehensive knowledge of AWS cloud services for machine learning and data operations
- English proficiency at B2 level or above in both speaking and writing
Preferred qualifications
- Experience working with Snowflake for analytics and data storage
- Familiarity with machine learning frameworks like TensorFlow or PyTorch
- Exposure to MLOps tools and best practices for ML system management
Tags & Focus Areas
Remote Ai Machine Learning Data Science
About EPAM Systems
Shape the future of global data science infrastructure as a Site Reliability Engineer at EPAM. You'll architect, implement, and support cutting-edge platforms like Alteryx, Dataiku, and Azure Machine Learning that power critical business insights across wealth management, investment banking, and corporate functions.