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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 position is tailored for a professional eager to apply their ai and machine learning expertise to lead transformative projects and solutions. The selected candidate will significantly contribute to advancing and refining our cutting-edge 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
* deploy robust machine learning infrastructures in live environments
* conduct thorough data evaluations to ensure model precision and reliability
* improve the performance and efficiency of existing machine learning models
* provide mentorship to junior engineers and lead machine learning projects
* stay informed about emerging machine learning trends and technologies
* evaluate and integrate new data sources to enhance model capabilities
* document detailed procedures and architectures of machine learning models
* present technical insights and model outputs to stakeholders and team members
requirements
* 3+ years of professional experience in machine learning engineering, with a focus on aws technologies
* proficiency in amazon bedrock for developing and deploying machine learning solutions
* extensive use of amazon sagemaker for model development and management
* understanding of amazon s3 for efficient data storage and management in machine learning projects
* advanced expertise in python for machine learning model creation
* knowledge of natural language processing (nlp) and its applications
* background in deep learning techniques and their practical application
* skills in prompt engineering to optimize model interaction
* competency in effectively applying sentiment analysis in real-world scenarios
* capability to execute model evaluation for nlp to ensure performance metrics are met
* proficiency in english at a b2 level or higher for effective collaboration and communication
nice to have
* familiarity with other cloud platforms such as google cloud or microsoft azure
* qualifications in additional programming languages like r or java
* background in obtaining certifications 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
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