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 skills to drive transformative projects and solutions. The chosen candidate will play a pivotal role in enhancing and optimizing our advanced machine learning models and systems to meet the diverse demands of our applications.
Responsibilities
- Design machine learning models to address complex challenges
- Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
- Implement robust machine learning infrastructures in live environments
- Evaluate and analyze data to ensure model accuracy and reliability
- Improve the performance and efficiency of existing machine learning models
- Guide and support junior engineers while leading machine learning projects
- Stay informed about the latest trends and advancements in machine learning technologies
- Incorporate new data sources to boost model capabilities
- Produce detailed documentation on machine learning techniques and model structures
- Share technical insights and model outcomes with stakeholders and team members
Requirements
- A minimum of 3 years of experience in Machine Learning Engineering, with expertise in AWS technologies
- Proficiency in Amazon Bedrock for the creation and deployment of machine learning solutions
- Extensive background in using Amazon SageMaker to develop and manage machine learning models
- Comprehensive familiarity with Amazon S3 for effective data storage and handling in machine learning projects
- Advanced expertise in Python for machine learning model development
- In-depth knowledge of Natural Language Processing (NLP) and its practical applications
- Demonstrated capability in applying Deep Learning techniques
- Competency in Prompt Engineering to enhance model interaction
- Skills in implementing Sentiment Analysis for practical use cases
- Understanding of effective Model Evaluation for NLP to validate performance
- Fluency in English at a B2 level or higher for seamless collaboration and stakeholder communication
Nice to have
- Understanding of other cloud platforms, including Google Cloud or Microsoft Azure
- Proficiency in additional programming languages such as 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