Senior Machine Learning Engineer
Colombia
We are on the lookout for a seasoned Senior Machine Learning Engineer to strengthen our team. This position is perfect for a professional eager to apply their AI and machine learning expertise to spearhead transformative projects and solutions. The selected candidate will play a key role in enhancing and refining our sophisticated machine learning models and systems, aligning them with the diverse needs of our applications.
Responsibilities
- Architect and engineer machine learning models to address complex challenges
- Work alongside multidisciplinary teams to grasp business needs and explore machine learning opportunities
- Deploy robust machine learning infrastructures in live environments
- Perform thorough data evaluations and tests to validate model precision and dependability
- Enhance the performance and efficiency of current machine learning models
- Mentor junior engineers and lead machine learning initiatives
- Keep abreast of emerging machine learning trends and technologies
- Assess and assimilate new data sources to augment model capabilities
- Record detailed documentation of machine learning procedures and model structures
- Communicate technical insights and model results to stakeholders and team members
Requirements
- At least 3 years of professional experience in Machine Learning Engineering, with a focus on AWS technologies
- Demonstrated proficiency with Amazon Bedrock for the development and deployment of machine learning solutions
- Comprehensive experience in utilizing Amazon SageMaker to develop and manage machine learning models
- Profound understanding of Amazon S3 for effective data storage and handling in machine learning projects
- Advanced proficiency in Python for machine learning model development
- Specialized knowledge in Natural Language Processing (NLP) and its applications
- Extensive experience with Deep Learning techniques and their implementation
- Skilled in Prompt Engineering to improve machine learning model interaction
- Adept in implementing Sentiment Analysis in practical scenarios
- Ability to perform effective Model Evaluation for NLP to verify model performance
- Fluent in English at a B2 level or higher, necessary for efficient team collaboration and communication with stakeholders
Nice to have
- Experience with other cloud platforms such as Google Cloud or Microsoft Azure
- Knowledge of additional programming languages like R or Java
- Relevant certifications in machine learning, data science, or associated fields
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