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 discovery on grocery shelves and provides additional metadata and features.SkillsExperience 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 experience developing in Python Good
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 discovery on grocery shelves and provides additional metadata and features.SkillsExperience 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 experience developing 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 with the goal of optimizing the performance of machine learning pipelines Establishing and configuring continuous integration and software deployment processes Continuous learning to design and support 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, client interview preparation courses, etc.) Get free training and certification with AWS, GCP or Azure Clouds Use the internal E-learn training program (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 architectsand as teachers Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and others Get taught in internal communities (500+ meetings, technical discussions, brainstorming sessions, online events and conferences every 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 52,800+ 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
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Position level
Senior secondary level
Type of employment
Full time
Job duties
Engineering and Information Technologies
Industries
IT services and IT Consulting