Top Machine Learning Jobs in Indianapolis, IN

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

The role involves executing Paid Media strategies, consulting clients, managing campaigns, and utilizing data insights for business growth. Strong communication and relationship-building skills are necessary.

The role involves developing and operationalizing ML and GenAI pipelines, automating model management, collaborating with teams, and mentoring staff.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Senior Technical Recruiter will source, screen, and select candidates, focusing on Machine Learning and Big Data expertise while collaborating with various teams to enhance recruitment efforts.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

The Senior Product Manager will lead product development for AI and fashion design tools, collaborating with engineers and designers to enhance user experience and drive product strategy.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

The Sales Engineer will drive revenue by crafting cloud data security solutions, managing demos, and consulting with stakeholders while utilizing Cyera's technology.

Lead product marketing strategies for AI solutions in consumer goods, defining messaging and go-to-market plans while collaborating with cross-functional teams.

Develop and implement large-scale machine learning models to enhance user ad predictions and better understand user interests through data mining and collaboration with product teams.

The AI Product Manager will oversee the development of AI-driven workflows for construction scheduling, focusing on risk prediction and intelligent automation systems. Responsibilities include product strategy, collaborating with teams, and defining success metrics for new features.

The Partner Sales role involves managing partnerships to drive revenue, developing strategic partner plans, and collaborating across teams to achieve sales targets.

Design and build production-grade AI systems, combining ML and LLMs, ensuring performance and reliability while providing technical leadership and mentorship.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

As a Research Scientist at Netflix, you will collaborate on machine learning projects to enhance content metadata and discovery, while operationalizing models.

Lead the design and operation of Stitch Fix's data and AI platforms, driving technical direction for AI-powered experiences and platform modernization. Responsibilities include strategy execution, operational excellence, and governance, while developing teams and fostering collaboration across technology and business units.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Lead a software engineering team to develop AI applications using LLMs, oversee project lifecycles, and ensure alignment with business strategies.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves designing, developing, and deploying machine learning models for healthcare applications, collaborating with cross-functional teams, and optimizing model performance.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.