4 ml platform engineer jobs at 4 companies in Plainfield, IN
2w
Save
Mark Applied
Hide
2w
Leader, AI Hyperspecialist Solutions Engineer
Chicago or Indianapolis or Minneapolis or Knoxville
$235k-$302k/yrHybridFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
5+ YOE2+ MgmtBachelor's degree in CS/engineering,5+ years in solutions/sales engineering or technical consulting with 2+ years leadership; deep AI/ML knowledge, cloud platform experience (AWS/GCP/Azure), and strong communication skills.
Dallas or Cleveland or Austin or Toledo or San Antonio or Houston or Indianapolis or Detroit or Chicago
OnsiteFull Time
Elara Caring: Provides personalized in-home healthcare, hospice, and personal care services.
3+ YOEBachelor's in CS/IS/Software Engineering or equivalent,3+ years automation/integration/software experience with 2+ years on AI/ML,Azure AI and automation platform experience,Python and Agile experience.
Azure OpenAI, Azure AI Foundry, Azure Functions, Logic Apps, Microsoft Power Automate, Microsoft Power Platform, ServiceNow, Python, Microsoft Teams
Technical Architect – Generative AI (Life & Annuities Insurance)
Indianapolis or Indiana or United States
$130k-$150k/yrHybridFull Time
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
10+ YOEBachelor’s degree, 10+ years in software/enterprise architecture, 3+ years delivering AI/ML/Generative AI, expertise in Life & Annuities insurance, cloud platforms (AWS/Azure/Google Cloud), LLM/RAG patterns, and enterprise integrations.
Retrieval-Augmented Generation (RAG), LLM, AWS, Azure, Google Cloud, vector databases
Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco or United States
$218k-$225k/yrOnsiteFull Time
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
12+ YOE5+ MgmtBachelor's in CS/EE or related; 12+ years enterprise infrastructure experience with 5+ years designing and implementing production-scale AI/ML/HPC (multi-rack GPU) and 5+ years people leadership; familiarity with GPU compute, high-performance networking, scale-out storage, Kubernetes/Slurm/Run:ai, and AI security; willingness to travel up to 50%.