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Top Artificial Intelligence Jobs in Chicago, IL
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As the Vice President of Product Management at FourKites, you will develop product strategies for AI integration, manage a global team, and collaborate with various departments to drive innovative solutions for supply chain technology.
As a Senior Manager in Product Management for the Cloud Reliability Platform, you'll design and deliver innovative cloud-based products that enhance resilience and reliability for software applications. You'll collaborate with engineering teams to prioritize features, support product vision buy-in, and drive successful product outcomes in a dynamic, Agile environment.
The Lead Product Manager will shape the vision and strategy for AI and machine learning applications at Smartly, leading a product development team to deliver innovative solutions. Responsibilities include defining the product roadmap, managing execution, and ensuring alignment with customer needs while also contributing to talent acquisition.
The Field CTO will represent CDW's Digital Velocity, align with sales leaders, and drive digital transformation strategies. Responsibilities include acting as a technical advisor, developing segment strategies, engaging with key clients for pre-sales, and leading large complex customer engagements.
The Senior Product Manager will lead the AI & Automation value stream, develop strategies and roadmaps for AI projects, drive end-to-end execution, manage relations with stakeholders, and oversee product launches and performance improvements.
The AI/ML Engineer will develop and fine-tune machine learning models, implement AI techniques for optimization, manage datasets, and collaborate with teams to integrate AI models. Responsibilities include monitoring model performance, staying updated on AI/ML advancements, and mentoring junior members.
As a Solution Architect for the AI/Cloudflare Developer Platform, you will drive revenue and customer engagement through technical leadership. Your roles include collaborating with sales teams, designing solutions, presenting to clients, and serving as a trusted advisor. Successful candidates will have a deep understanding of cloud technologies, AI/ML, and software development with a focus on delivering elegant, efficient solutions for clients.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical and data mining techniques on large datasets, evaluate emerging datasets and technologies, and contribute to the firm's thought leadership through research and publication.
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As an Applied AI Scientist at ZS, you will develop advanced algorithms to solve complex problems, execute statistical techniques on large datasets, evaluate emerging datasets and technologies, and contribute to the firm's thought leadership by researching and publishing evolving topics.
The Technical Product Analyst will develop customer relationships, assist with end-user services, and ensure governance aligns with team strategies. Responsibilities include understanding infrastructure platforms, educating on Microsoft AI capabilities, and collaborating with teams to deliver scalable solutions.
The Principal AI Product Manager will lead the development of AI-driven solutions for HR processes, working collaboratively to enhance employee experiences. Responsibilities include defining the product vision, managing the product lifecycle, conducting user research, and ensuring compliance with ethical guidelines.
The Senior Principal Product Owner will oversee ML Ops products within Discover's Decisioning Platform, focusing on model deployment efficiency. Responsibilities include developing the product vision, collaborating with stakeholders, and managing risk and project delivery while ensuring alignment across teams. This role requires deep technical and product knowledge to drive value and improve customer experiences.
As an LLM Engineer, you will design and develop scalable software systems, translate business requirements, manage the LLM app development lifecycle, and utilize leading cloud services. Your role includes implementation of DevOps practices and collaboration with cross-functional teams to ensure code quality and project deadlines are met.
The Senior Software Engineer will be responsible for leading and architecting complex systems applications, mentoring programming staff, and ensuring the efficient integration of business applications. This role involves evaluating client requirements, providing technical consultation, and designing efficient solutions. The engineer will work closely with clients and vendors, supporting application implementations and managing project teams.
As a Data Scientist at Capital One, you will train and customize large language models, partner with cross-functional teams, leverage various technologies to analyze data, and contribute to leading NLP conferences. Your work will enhance customer experience and improve business efficiency through generative AI solutions.
As an AI & GenAI Data Scientist at PwC, you will design robust data solutions and leverage advanced analytics and machine learning to develop predictive models, perform statistical analysis, and create visualizations that address complex business challenges. Collaborate with clients to understand their needs, manage AI application development, and contribute to the development of AI solutions.
The Senior Software Engineer will develop and enhance AI-based services, collaborating with teams to deliver high-quality enterprise solutions, engaging in design and code reviews, and mentoring team members. They will also lead technical projects and implement improvements for productivity.
As a Staff Product Manager, you will lead the development of AI and Research products at Tempus, analyzing product gaps, defining new product concepts, managing a portfolio of ideas, and collaborating with product teams to integrate AI capabilities into their workflows. You will also oversee pilot programs for new features, prioritize development efforts, and advocate for effective use of AI technology.
The Applied AI/ML Lead will analyze business problems and develop machine learning and deep learning solutions. Responsibilities include leading AI/ML initiatives, collaborating with teams to define problems, and creating end-to-end ML pipelines. The role requires extensive knowledge of ML models, data science practices, and experience in deploying models in production settings.
The AI Technical Solutions Specialist at CDW is a customer-facing, pre-sales technologist responsible for understanding customer needs in AI and related technologies, qualifying opportunities, and collaborating with sales teams to promote suitable products and services.
The Sr. Director of Data, Analytics, and AI at NinjaTrader will lead data infrastructure, analytics, and AI initiatives, manage a team of data professionals, and drive data-centric decision-making across the organization to enhance customer experience and operational efficiency.
The Vice President of Business Development will lead growth for the Data & AI practice by leveraging partnerships, developing strategic plans, and closing significant deals. This role emphasizes client engagement, nurturing opportunities, and aligning offerings with business needs to generate substantial revenue.
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As the Director of Data Science and AI, you will lead a team to develop AI/ML models and deliver customer value, while overseeing the design and deployment of solutions across multiple business domains, enhancing data infrastructure and quality.
The Generative AI Summer Analyst internship involves applying academic knowledge to real-world projects, collaborating on AI Agent development, conducting market research for Gen AI initiatives, and creating content to promote Tempus' AI solutions. The role fosters professional growth in a fast-paced environment.
As a Senior AI Governance Manager at Dropbox, you will design, implement, and coordinate the AI governance and risk program, focusing on user trust and compliance with AI principles. You will collaborate with leadership and cross-functional teams to develop effective governance policies, manage AI-related risks, and ensure adherence to regulatory standards.
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