Senior Machine Learning Engineer
Colombia
We are seeking a seasoned Senior Machine Learning Engineer to join our team.
This position is tailored for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The chosen candidate will play a pivotal role in enhancing and optimizing our advanced machine learning models and systems, ensuring alignment with diverse application needs.
Responsibilities
- Design machine learning models to resolve complex problems
- Collaborate with multidisciplinary teams to address business requirements and identify machine learning opportunities
- Implement robust machine learning infrastructures in active environments
- Conduct detailed data analysis and testing to ensure model accuracy and reliability
- Optimize the performance and functionality of existing machine learning models
- Provide mentorship to junior engineers and lead machine learning projects
- Stay updated on advancements in machine learning trends and technologies
- Evaluate and incorporate new data sources to improve model performance
- Document machine learning workflows and model architectures comprehensively
- Present technical insights and model outcomes to stakeholders and team members
Requirements
- At least 3 years of professional experience in Machine Learning Engineering focusing on AWS technologies
- Proficiency in Amazon Bedrock for designing and deploying machine learning solutions
- Extensive background in Amazon SageMaker for creating and managing machine learning models
- Thorough understanding of Amazon S3 for effective data storage and management in machine learning projects
- Advanced skills in Python for developing machine learning models
- Expertise in Natural Language Processing (NLP) and its practical applications
- Strong background in Deep Learning techniques and implementations
- Competency in Prompt Engineering to refine machine learning model interaction
- Capability to implement Sentiment Analysis in real-world scenarios
- Competency in conducting Model Evaluation for NLP to assess model effectiveness
- Fluency in English at a B2 level or higher for efficient communication with teams and stakeholders
Nice to have
- Familiarity with other cloud platforms like Google Cloud or Microsoft Azure
- Qualifications in additional programming languages such as R or Java
- Certifications 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