5 days ago Be among the first 25 applicants EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. 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 We offer 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 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering, Information Technology, and Research Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at EPAM Systems by 2x Get notified about new Senior Machine Learning Engineer jobs in Colombia . Bogota, D.C., Capital District, Colombia 5 days ago Bogota, D.C., Capital District, Colombia 5 days ago Bogota, D.C., Capital District, Colombia 5 days ago Bogota, D.C., Capital District, Colombia 1 month ago Medellin, Antioquia, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr