We are looking for a Senior Machine Learning Engineer to operationalize computer vision models for detecting, extracting, and classifying objects.
We are working on enhancing a client tool that identifies products on store shelves and provides 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 data science models, fine-tune 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
• - Monitor model performance
• Collaborate with data scientists and engineering team to optimize machine learning pipeline performance
• Establish and configure continuous integration and software deployment processes
• Continuously improve the design and support of machine learning models
• Implement capabilities for early detection of various drifts (data, concept, schema, etc.)

• Proven experience as a Machine Learning or Data Engineer, specifically in designing, building, and deploying machine learning and data processing pipelines
• Good knowledge and experience in Python development
• Good understanding of the Python machine learning ecosystem (PyTorch, TensorFlow, NumPy, pandas, sklearn, XGBoost, etc.)
• Good grasp of concepts and best practices for the efficient deployment and maintenance of machine learning models
• Experience with platforms/technologies for model deployment and management, such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLflow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc
• Familiarity with essential software development tools, including Git, CI/CD environments (e.g., Jenkins, Buildkite), PyPI, Docker, Kubernetes, unit testing, and general object-oriented design

• 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