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Senior Machine Learning Engineer in EPAM Systems

Posted more than 30 days ago

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EPAM Systems

EPAM Systems

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Without experience
Full-time work
DESCRIPTION We are looking for a Senior Machine Learning Engineer to operationalize computer vision models for object detection, extraction, and classification. We are working on improving a client tool that allows product detection on grocery shelves and providing additional metadata and attributes Skills Experience as an engineer in machine learning or data with a focus on designing, building and deploying machine learning and data processing pipelines Good knowledge and development experience
DESCRIPTION We are looking for a Senior Machine Learning Engineer to operationalize computer vision models for object detection, extraction, and classification. We are working on improving a client tool that allows product detection on grocery shelves and providing additional metadata and attributes Skills Experience as an engineer in machine learning or data with a focus on designing, building and deploying machine learning and data processing pipelines Good knowledge and development experience in Python Good understanding of the Python machine learning ecosystem (PyTorch, TensorFlow, NumPy, pandas, sklearn, XGBoost, etc.) Good understanding of concepts and best practices for effective deployment and support of machine learning models Experience with some platforms/technologies related to practices for effective deployment and support 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, a continuous integration and software deployment environment (such as Jenkins or Buildkite), PyPI, Docker, Kubernetes, unit tests and object-oriented design in overall Responsibilities Review and analyze existing DS models, 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 Model performance monitoring Collaborate with data scientists and engineering team with in order to optimize the performance of machine learning pipelines Establishing and configuring continuous integration and software deployment processes Continuous training in designing and maintaining machine learning models Providing capabilities for early detection of various drifts (data, concepts, schemes, etc.) With us you can work on a flexible schedule remotely or in any of our comfortable offices or co-working spaces in Ukraine Get the necessary equipment to perform work tasks Change projects and the technology stack within EPAM Get experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Traveling, Media, Artificial Intelligence and others) Consider options for relocation in over 30 countries of the worldJoin volunteer, charity programs and communities (both in technical directions and interests) We will help you in professional developmentPlan your individual career path together with the managerReceive regular feedback from colleagues Improve your English for free with certified teachers ( Speaking Clubs, training courses for client interviews, etc.) Get the opportunity to undergo free training and certification with AWS, GCP or Azure Clouds Use the internal training program E-learn (18,200+ specialized training and mentoring programs) Get access to corporate accounts on LinkedIn Learning, Get Abstract and other partner resources Learn at Solution Architecture School with practicing architectsorams as teachers Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and others Participate in internal communities (500+ meetings, technical discussions, brainstorming sessions, online events and conferences each year) What we offer Vacation and sick days ( including without a medical certificate) Support from the company during significant life events (birth or adoption of a child, marriage, etc.) Psychological comfort support: discounts on the services of mental health specialists or coaches, thematic trainings children of EPAM-ers to programming languages ​​Pleasant corporate giftsAbout EPAMERAM strives to provide its global team of more than 60,000+ professionals in more than 45 countries with opportunities for professional growth from the first day of cooperation. Our colleagues are the source of ERAM's success, so we value cooperation, always try to understand our clients' business and strive for the highest quality standards. No matter where you are, you'll join a dedicated, diverse community that will help you reach your full potential Show more Show less Position level Senior secondary level Type of employment Full-time Job responsibilities Engineering and Information Technologies Industries IT services and IT Consulting
Without experience
Full-time work
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