Top Machine Learning Jobs in Indianapolis, IN

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Design, prototype, and deploy production-ready AI products using ML and generative AI. Lead cross-functional teams, collaborate with stakeholders to solve workflow problems, build scalable prototypes and proofs-of-concept, and apply latest ML/GenAI research techniques.

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

The GTM Enablement Lead at UVeye develops onboarding and certification programs for customer-facing teams, ensuring effective training and operational readiness to enhance revenue growth.

As a Solution Architect for GSIs, you'll manage technical relationships, design solutions, and collaborate with partners to enhance Cyera's security offerings.

The Business Development Director will lead strategic engagement with Google Cloud, focusing on partnership growth, go-to-market strategies, and revenue generation through cloud solutions.

The Business Development Director will lead strategic engagement with Oracle Cloud Infrastructure, focusing on alliance strategies, go-to-market execution, and revenue growth through innovative cloud solutions.

Lead the development of AI solutions for U.S. Army operations, including advanced NLP systems and model deployment on cloud platforms, while collaborating with cross-functional teams and providing SME guidance.

As a Senior Machine Learning Engineer, you will develop machine learning models, automate data pipelines, and collaborate with teams to meet customer needs.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

The Senior Solution Engineer will partner with sales to solve customer challenges, lead demos, and close business using Snowflake's technology, focusing on AI and database solutions.

As a Senior Software Engineer, you will manage customer deployments of AI integration, making architectural decisions and ensuring effective solutions.

As a Senior Product Manager, you will lead the development of tools for financial advisors, focusing on product execution, advisor-centric development, and integrating AI into workflows while mentoring junior team members.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

This role focuses on optimizing large-scale financial modeling applications by implementing MLOps practices and maintaining end-to-end pipelines on AWS.

The Head of Startup Program will create and manage an AI-centric startup program, drive customer engagement, and establish strategic partnerships in the ecosystem.

Lead product strategy for data and AI solutions, drive analytics, manage integrations, and improve decision-making in health-tech.

The Solutions Architect aligns technology strategies with business objectives, leading solution design and architecture to deliver scalable IT solutions. Responsibilities include managing projects, evaluating technology trends, and driving efficiencies through AI and automation.

Lead and manage late-stage clinical trials for respiratory products. Build teams, develop strategies, and ensure compliance and collaboration across functions to drive execution in asthma and COPD programs.

Lead the enterprise-wide AI adoption initiative, managing strategies, budgets, and communications across departments while preparing executive presentations and mentoring successors.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

The Senior Scientist will design small molecules using computational tools, lead projects, manage external teams, and collaborate with machine learning and medicinal chemistry teams.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.