We are looking for a Senior Machine Learning Engineer who will be involved in the operationalization of computer vision models for object detection, extraction, and classification.
We are working on improving a client tool that allows detecting products on grocery shelves and providing additional metadata and features.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI

Responsibilities

• Review and analyze existing DS models, customize and parameterize them as needed
• Design, build, maintain, troubleshoot, and optimize the full machine learning lifecycle, which includes the following
• Machine learning model optimization
• Data preparation
• Feature extraction
• Monitoring model performance
• Collaboration with data scientists and engineering team to optimize the performance of machine learning pipelines
• Setting up and configuring continuous software integration and deployment processes
• Continuous training in designing and maintaining machine learning models
• Provide capabilities for early detection of various drifts (data, concepts, schemas, etc.)

• Experience as a machine learning or data engineer in designing, building, and deploying machine learning and data pipelines
• Good knowledge and experience in Python development
• Good understanding of the Python machine learning ecosystem (PyTorch, TensorFlow, NumPy, pandas, sklearn, XGBoost, etc.)
• Good understanding of concepts and best practices for efficient deployment and support of machine learning models
• Experience with some platforms/technologies related to best practices for efficient deployment and maintenance of machine learning models, such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLflow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc
• Experience with basic software development tools, such as git, continuous integration and deployment environments (such as Jenkins or Buildkite), PyPI, Docker, Kubernetes, unit tests, and object-oriented design in general

• 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