Top Machine Learning Jobs in Providence, RI

Lead the vision, strategy, and execution of the machine learning platform at Flex, focusing on compliance, customer success, and internal operations. Build and mentor a team of ML engineers and data scientists to deliver scalable ML systems.

Lead the Automotive Enterprise Cloud platform strategy, manage OEM relations, drive program execution, and ensure alignment for a seamless digital retail experience.

The Director of Technology will lead the creation of a digital lending ecosystem, focusing on technology architecture, security, and integration of AI/ML solutions for agricultural lending.

Lead engineering and product development at Recast, fostering a culture of accountability, hiring engineers, and managing tech security practices.

The Senior Product Manager will lead the strategy for an AI-first financial planning experience, integrating AI, digital tools, and human guidance to enhance customer financial wellness.

The Customer Support Engineer resolves complex technical issues, leads diagnosis, supports automation scripting, and mentors junior staff. Responsibilities include troubleshooting across various technology stacks and collaborating with engineering teams.

The Assistant Modeling Manager develops and enhances auto insurance rating plans, applying advanced modeling techniques and collaborating with data scientists to provide insights and ensure compliance with regulations.

As a Conversational AI Engineer, you will design and deploy intelligent chat agents, integrate systems, evaluate AI tools, and ensure system performance to enhance customer service.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

Lead and manage bookkeeping professionals to provide quality services, implement scalable processes, manage client interactions, and collaborate with product engineers to enhance bookkeeping systems.

As a Senior Machine Learning Engineer, you'll develop models for risk identification, collaborate cross-functionally, and deploy ML solutions, ensuring performance monitoring and continuous improvement.

The IT Director, Financial Crimes Development leads the design and implementation of solutions to combat financial crimes, oversees analytics and compliance, and mentors a team of analysts.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

The Database Developer will design, build, and maintain data pipelines, collaborate on data integration, and ensure efficient data delivery for analytics and reporting.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

The Principal Solutions Architect will analyze environments, design solutions, guide IT projects, and ensure technical and functional alignment with business requirements, focusing on the Department of Veteran Affairs.

As Founding Head of Product, you will define and own the product strategy, working across teams to shape AI-driven solutions and ensure market fit for Sciemo.

Lead the Client Solutions team, ensuring the execution of complex transactions while driving innovation and client advocacy. Oversee operations, build client relationships, and implement strategic frameworks for growth.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Client Partner will manage relationships with key customers, drive revenue growth, and uncover new business opportunities while ensuring effective delivery of services.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Marketing Manager will lead strategic campaigns, manage content, collaborate with teams, analyze performance, and stay ahead of industry trends to drive brand awareness and customer engagement.

The Business Analyst 2 analyzes AI-powered data solutions, optimizes customer experience automation, and collaborates with teams to drive business insights and value.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.