Senior Machine Learning Engineer

We are in search of a skilled Senior Machine Learning Engineer to join our team. The successful candidate will play a crucial role in developing and deploying cutting-edge computer vision solutions using Amazon Web Services and Python.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

RESPONSIBILITIES

• Develop and deploy a CV model to monitor PPE safety on the GoM offshore platform using AWS Cloud Services
• Identify missing hard hats, gloves, and safety goggles, and record findings in the Oxy observations database for further action
• Establish an MLOps computing foundation for Computer Vision, enabling general use for future models and use cases
• Collaborate with cross-functional teams to ensure the successful deployment and operation of the CV solution
• Work with edge devices and AWS Greengrass to deploy the CV model to the edge
• Utilize Python and Pandas for data processing and model development
• Contribute to the continuous improvement of the CV solution and its integration with AWS services

REQUIREMENTS

• 3+ years of relevant professional experience
• Proficiency in Amazon Web Services (AWS) Cloud Services, including S3 buckets, AWS Lambda, etc
• Strong expertise in Python and Pandas, as well as experience with machine learning libraries such as Tensorflow, Keras, PyTorch, and NVIDIA TensorRT
• Solid understanding of computer vision principles and techniques, with a focus on developing and deploying CV models
• Experience in deploying solutions to edge devices and familiarity with MLOps best practices
• Ability to work with Docker and Git for version control and containerization
• Excellent problem-solving and analytical skills, with a strong attention to detail
• Effective communication skills and the ability to collaborate with cross-functional teams
• B2+ English level proficiency

WE OFFER

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children