Senior Machine Learning Engineer
Colombia
We are seeking a seasoned Senior Machine Learning Engineer to bolster our team.
This role is ideal for a professional eager to leverage their AI and machine learning expertise to drive transformative projects and solutions. The chosen candidate will play a vital role in advancing and fine-tuning our sophisticated machine learning models and systems, ensuring alignment with the diverse requirements of our applications.
Responsibilities
- Design machine learning models to solve complex problems
- Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
- Deploy reliable machine learning infrastructures in production environments
- Conduct detailed data analysis and testing to confirm model performance and accuracy
- Improve the efficiency and effectiveness of current machine learning models
- Provide mentorship to junior engineers and oversee machine learning initiatives
- Stay updated on emerging trends and innovations in machine learning
- Evaluate and integrate new data sources to expand model capabilities
- Document machine learning processes and model frameworks comprehensively
- Share technical insights and model outcomes with stakeholders and team members
Requirements
- Minimum of 3 years professional experience in Machine Learning Engineering, with AWS technologies
- Proficiency in Amazon Bedrock for building and deploying machine learning solutions
- Experience in Amazon SageMaker for developing and managing machine learning models
- Understanding of Amazon S3 for data storage and handling within machine learning projects
- Advanced proficiency in Python for machine learning model creation
- Background in Natural Language Processing (NLP) and its applications
- Expertise in Deep Learning techniques and associated implementations
- Skills in Prompt Engineering to enhance machine learning model interactions
- Competency in performing Sentiment Analysis in practical applications
- Qualifications in Model Evaluation for NLP to ensure model effectiveness
- Familiarity with English at a B2 level or higher for team collaboration and communication with stakeholders
Nice to have
- Background in other cloud platforms such as Google Cloud or Microsoft Azure
- Skills in additional programming languages like R or Java
- Qualifications in machine learning, data science, or related disciplines
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