Top Hybrid Machine Learning Jobs

The AI ML Senior Associate at JPMorgan is responsible for designing and developing machine learning models to enhance customer experiences in the card business. The role involves collaboration across departments, leveraging machine learning technologies, and communicating insights to management. Key tasks include implementing models and ensuring their fairness and explainability.

As a Distinguished Machine Learning Engineer at Capital One, you will lead engineering teams in the production of machine learning applications, optimize performance, mentor engineers, and drive innovation in AI/ML use cases in the financial sector. Responsibilities include developing ML models, optimizing data pipelines, and collaborating with various teams to solve complex business problems.

As a Senior Machine Learning Modeler at Block, you will develop scalable machine learning solutions to assess financial crimes risk. You'll collaborate with stakeholders to improve data utilization, maintain production software, and document processes while leading the ML team and staying updated on industry advancements.

The Application Engineer in Splunk/Machine Learning is responsible for the design, implementation, and oversight of products, mentoring junior engineers, analyzing and deploying user stories, and ensuring high-quality software development while collaborating with cross-functional teams.

As a Lead Machine Learning Engineer, you will manage a team to design and implement a modern MLOps stack, drive innovation in machine learning platforms, and oversee the development of machine learning pipelines while collaborating with data science teams.

As a Machine Learning Engineer II at Chewy, you will design and deploy machine learning models tailored to HR challenges, mentor junior team members, and lead projects analyzing unstructured data. You will collaborate with various teams to shape AI applications that enhance talent management and employee engagement.

The Senior Machine Learning Engineer will lead projects in the Conversational AI team, focusing on developing scalable ML solutions for Square's products, working collaboratively with various teams, and advocating for best engineering practices. Responsibilities include managing ML systems lifecycle, collaborating on product features, and maintaining production-level code.