Top Machine Learning Jobs in Peoria, IL

As a Solutions Engineer, you will drive sales growth, support partnerships, and deliver AI-driven solutions while collaborating with various teams.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

The role involves leading a team to manage data strategies and analytics for Netflix Games, requiring expertise in data science, business analytics, and team management.

The Customer Success Manager will manage post-sales relationships, drive customer engagement and ROI, and advocate for client needs within the Buzz Solutions platform.

The Principal Engineer will lead technical strategy for ad products, mentor teams, oversee significant engineering projects, and drive innovation in machine learning and advertising technology.

The role focuses on optimizing customer operations by implementing solutions, managing relationships, and ensuring product effectiveness, requiring analytics and project management skills with up to 20% travel.

The GTM role focuses on increasing revenue through new sales and partnerships, understanding client needs, and communicating product value.

The Senior Product Manager will define the vision and roadmap for Cait, manage product iterations, utilize AI tools, and collaborate cross-functionally to enhance user outcomes while driving product strategy in an AI-first environment.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

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.

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.

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.

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.

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.

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.