Top Machine Learning Jobs in Indianapolis, IN

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

As an AI Engineer, you'll build and scale AI solutions for the power grid, collaborating with engineers and data professionals to enhance grid reliability and decision-making.

The Senior Technical Account Manager is responsible for ensuring technical success for Genesys customers, managing relationships, and driving platform adoption while leading cross-functional teams and improving internal processes.

The role is focused on integrating price books and products to enhance Lead to Cash operations using AI tools, project management, and cross-functional collaboration.

As Lead Data Scientist, you'll develop advanced ML systems for AI-driven search, focusing on NLP and content optimization, while leading cross-functional efforts to translate business needs into technical strategies.

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

As a Senior Software Engineer at EvolutionIQ, you will own the design, development, and delivery of a multi-tenant SaaS application, collaborating closely with cross-functional teams to drive technology choices and enhance engineering practices, focusing on creating impactful AI solutions.

The Technical Account Manager (TAM) ensures technical success for Genesys customers by building relationships, managing adoption, and providing technical expertise.

The AI Scientist will develop simulation models, implement machine learning algorithms, analyze data, and collaborate with teams to drive business solutions.

The Associate Director PV Systems Strategy and Implementation leads technology and analytics strategies in pharmacovigilance, enhancing data quality and compliance. They collaborate on system development, project oversight, and regulatory compliance, while promoting efficiency and operational excellence in PV processes.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As the FP&A Topline Analytics & AI Director, you will lead AI-based forecasting, collaborate with teams to automate insights, and drive analytics innovation using ML and AI.

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

Lead data analysis of complex biological datasets, develop computational tools, and derive insights for biomarker discovery to enhance patient care in infectious diseases and beyond.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

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 a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

The AI Data Specialist role involves data collection, evaluation, and annotation tasks to improve AI-generated content. Ideal for flexible workers.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Lead GenAI/AI initiatives by collaborating with cross-functional teams to identify opportunities, ensure ethical practices, and develop scalable solutions. Communicate effectively with stakeholders and support successful project transitions into products.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The Data Scientist role involves developing AI and ML algorithms for bioprocess control, optimizing workflows, and collaborating with engineers to enhance product yield.

The Director of Product Marketing at Agerpoint will lead product messaging, launches, market analysis, sales enablement, pricing, and data storytelling to drive revenue and adoption.