Top Machine Learning Jobs in Indianapolis, IN

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

Responsible for leading data strategy and analytics in Global Manufacturing and Learning, focusing on operational excellence, strategic growth, and driving data-driven insights for decision-making.

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

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The Software Engineer III will focus on leveraging Generative AI for patient solutions, enhancing voice AI agents, and managing technical projects while mentoring peers.

Lead and support manufacturing excellence initiatives by driving digital transformation, automation, and Industry 4.0 implementations to optimize manufacturing processes and efficiency.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

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

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

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.