3,450 results for Machine Learning Engineer Jobs

Our agency has an immediate need for a bright Machine Learning Developer to join our team. We want to meet you if you are: Innovative: You revel in using cutting-edge technologies and in generating big ideas. Problem-Solver: You think critically about challenges and can produce ingenious solutions. ...

Implement and optimize machine learning algorithms for embedded AI applications, develop algorithms for novel computer architectures, maintain efficient code in Python, C, and C++, debug software for optimal performance, and collaborate with research teams on ML model development.

Responsible for managing CI/CD pipelines for machine learning models, overseeing the lifecycle of models from development to deployment, tracking performance metrics, optimizing infrastructure, conducting performance analysis, and mentoring junior engineers.

Lead the future of identity machine learning by employing statistical and machine learning techniques on large datasets, prototyping and productionalizing machine learning models to protect user accounts, and collaborating with engineering teams to enhance data-driven decision-making.

Responsible for gathering requirements, developing data models, implementing machine learning algorithms, creating and optimizing metrics, analyzing large data sets, and collaborating with cross-functional teams to deliver high quality data products.

Responsible for developing end-to-end machine learning solutions, translating business requests into data requirements, extracting structured and unstructured data, developing predictive models, deploying prototypes to production, and collaborating with business experts and IT for effective implemen...

Build and maintain large scale Client Infrastructure and Client pipelines, contribute to advanced analytics and machine learning platform, extend existing Client Platform for scaling model training and deployment, and partner with business and engineering teams to drive model adoption and integratio...

Build and maintain machine learning and deep learning models, design and develop robust ML pipelines, implement end-to-end solutions, and conduct in-depth analysis of models. Collaborate with cross-functional teams for seamless ML model integration and drive rigorous testing practices.

Responsible for creating and delivering Machine Learning models to drive operational improvements, including data mining, cleaning, and engineering. Develops new ML algorithms, establishes evaluation criteria for algorithms, automates model training and deployment, and collaborates in an agile team ...

Responsible for analyzing and improving ML algorithms, designing, developing, and deploying machine learning models, and managing the ML lifecycle from data collection to deployment and monitoring. Collaborates with data scientists and engineers to enhance data quality and efficiency, documents mach...