Top Hybrid Machine Learning Jobs
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The Machine Learning Engineer will work on NLP projects for Grammarly's Enterprise team, focusing on building AI products and capabilities that enhance communication in organizations. The role involves applying ML technologies, collaborating with cross-functional teams, and innovating to solve technical challenges at scale.
The Senior Machine Learning Engineer will design, develop, and deploy AI/ML solutions for clinical research, manage ML pipelines, and ensure optimal performance and compliance of ML models, collaborating with cross-functional teams and maintaining comprehensive documentation.
As a Senior Product Delivery Associate in Machine Learning Operations Intelligence, you will manage product delivery, support change initiatives, and collaborate with cross-functional teams to enhance efficiencies and ensure compliance. Your role involves communication with stakeholders, managing product roadmaps, and continuously improving agile practices.
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The Machine Learning Engineer II will develop and improve machine learning solutions for inventory optimization, work with data scientists to enhance analytics capabilities, automate system operations, design ETL pipelines, and create applications for stakeholder interaction with ML systems.
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
In this role, you will leverage strong test automation skills in Java or Python to test large-scale production systems. Responsibilities include scoping project requirements, building test cases, testing AI/ML models, analyzing test results, and reporting defects.
As a Senior Machine Learning Engineer at Capital One, you will design, build, and deploy machine learning models and systems, optimize code for performance in production, collaborate on Agile teams, and ensure the proper governance and maintenance of ML applications.
The Machine Learning Engineer will develop advanced algorithms for airspace security and computer vision tracking software. Responsibilities include writing and optimizing Python code, deploying computer vision algorithms, and collaborating with academic partners and industry experts.
The Staff Machine Learning Engineer will build and deploy machine learning models for identity resolution and ads attribution, collaborate with cross-functional teams, conduct code reviews, and ensure code quality while staying abreast of the latest machine learning technologies.
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
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