Top Senior Machine Learning Jobs in Indianapolis, IN

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The AI Tech Lead is responsible for defining and managing AI strategies, model usage, semantic routing, and agent architecture to evolve AI capabilities within the platform.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The GTM Enablement Lead is responsible for designing onboarding programs, certification standards, and knowledge management systems to optimize training for customer-facing teams, ensuring consistent operations and effective communication of UVeye's technology impact.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Lead the development of first-party measurement solutions, integrate with third-party partners, and ensure high-quality analytics outputs within the ads ecosystem.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Lead the design, execution, and analysis of machine learning-driven product experiments to optimize ordering systems. Collaborate with stakeholders and mentor teams.

The Senior Product Manager will lead the development of medication prescribing capabilities, utilizing AI and machine learning to enhance member experiences and drive health engagement.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

Drive new enterprise customer acquisition and growth for Arize AI by prospecting, conducting discovery with AI/ML stakeholders, running POCs, and closing full-cycle SaaS deals. Build relationships, create sales plays, scope licensing, and collaborate internally to drive adoption and expansion.

Lead multi-year strategy, roadmap, and execution of Upwork's reputation systems. Own cross-functional delivery of reputation, trust, and ranking initiatives, define success metrics linking reputation to marketplace outcomes, and build and mentor a team of product managers to drive adoption and measurable business impact.

The advisor combines engineering expertise with operations knowledge to assess grid technology impacts, manage research projects, and improve reliability in MISO's grid operations.

Manage relationships with global enterprise customers, guide them through technical transformations, oversee onboarding, and drive measurable business outcomes while ensuring consistent service delivery across multiple regions.

Design, build, and deploy AI features for claim synthesis; implement machine learning solutions and improve model performance through collaboration and evaluation.

Lead the Data & Analytics team, focusing on building data platforms, improving delivery speeds, and integrating Generative AI into data strategies.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

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.

As Director of Engagement Management, oversee the team, drive customer success strategies, manage operations, and enhance product utilization while fostering team development and customer relationships.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Lead the Performance ML squad, managing and mentoring engineers while driving the development, deployment, and strategy of predictive models for advertising.