Top Machine Learning Jobs in Indianapolis, IN

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.

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

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.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Director of Software Product Management will establish and drive the Enterprise AI Orchestration strategy, focusing on managing AI agents, product development, and organizational leadership in the pharmaceutical space.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

Lead a team of ML engineers to develop computer vision models, manage ML roadmaps, and improve product functionalities through innovative technologies.

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

The role involves developing LLM-powered AI features, optimizing AI performance, and collaborating on technical architecture and user experience enhancements. Requires strong skills in machine learning and AI integration.

The Engineering Manager will lead the development of the Ad Platform infrastructure, ensuring high quality, efficiency, and accountability across systems while embedding AI and managing big data operations.

As an Applied Scientist, you will design and implement machine learning models, develop personalized systems, and enhance decision-making through AI technology to improve user experience and business operations.

The Sales Executive will drive revenue growth for 4DMedical imaging solutions by leading strategic sales plans, managing complex sales cycles, and collaborating cross-functionally.

As a Business Operations Associate, you will partner with teams to drive data-driven decisions, design and analyze A/B experiments, and optimize operational efficiency.

Zillow seeks a Principal Applied Scientist to develop multimodal AI technologies for the real estate industry, focusing on computer vision and natural language processing to enhance the user experience.

As a Data Architect II, you will design and deliver data solutions, engage stakeholders, and innovate data architecture to support business growth at Hagerty.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

The role involves teaching software engineering courses, mentoring students, and participating in course development and university service.

Lead the development and execution of ML platform strategies, manage a high-performing team, and enhance 3D deep learning applications.

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.

The Director, Genomics Data will lead genomic data R&D, managing a team to advance data analysis, platform design, and commercialization efforts.

This role involves designing and building advanced ML models to protect against fraud and enhance user experience while mentoring lower-level engineers and influencing technical roadmaps.

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