17 ml engineer jobs at 12 companies in Madison, IN
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AI Engineer/ML Engineer - Senior Developers - AI Training - Louisville, US
Louisville, Kentucky, United States
$80/hrRemoteContract, Part Time
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related quantitative field; experience building/deploying/fine-tuning ML models; deep learning (Transformers/CNN/RNN); LLM workflows (Prompt Engineering, RLHF, RAG); ability to audit model logic and spot hallucinations.
The Phia Group: Provides cost containment and recovery services for health plans.
5+ YOE5+ years data engineering experience, bachelor's or equivalent, strong SQL and Python, experience with Azure Data Factory, Snowflake, Git/Azure DevOps, and AI/ML pipeline support.
Engineering Services Manager - AI/ML LC Server Platform Integration
Florence or United States
$116k-$208k/yrHybridFull Time
JabilNYSE: JBL: Provides manufacturing and supply chain solutions for global brands.
8+ YOE8+ years engineering experience (industrial/test/quality/manufacturing) with focus on process development, liquid cooling, automation, and continuous improvement; Bachelor's in engineering required; leadership and project management experience; Lean Six Sigma preferred.
Yum! BrandsNYSE: YUM: Global operator of quick-service restaurant brands.
4+ YOERequires 4+ years developing and deploying production ML solutions, proficiency in Python, message queues (Kafka/Pulsar/RabbitMQ), Docker, Kubernetes, and strong analytical and communication skills.
KFC Pan EuropeNYSE: YUM: Quick-service restaurant chain specializing in fried chicken products.
4+ YOEBachelor's degree in CS/related, 4+ years developing and deploying production ML systems, proficiency in Python, message queue tech (Kafka/Pulsar/RabbitMQ), Docker/Kubernetes, strong analytical and communication skills.
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building and operating production backend systems, strong Python skills, cloud distributed systems experience, hands-on LLM/generative AI experience, and ML lifecycle proficiency in regulated environments.
HumanaNYSE: HUM: Provides health insurance plans and clinical healthcare services.
5+ YOEMinimum 5 years professional software engineering; 3+ years building user-facing apps; AI/ML integration in production; experience with AI agents, RAG, tool use, and enterprise deployment; proficiency with AI-assisted development tools; degree in CS/Math/Stats or related field with relevant experience; 3-5+ years for Master’s/PhD equivalent.
Python, React, Vue, Solid, Angular, LangChain, LlamaIndex, Semantic Kernel, AI SDKs, Claude Code, Cursor, Replit
School to Work - AI and Analytics Solution Engineer
Florence, Kentucky, United States
HybridFull Time, Part Time
CumminsNYSE: CMI: Manufacturer of diesel engines and power generation systems.
Student-level candidates in data science/computer science/AI/ML/business information systems/business analytics; BS/MS preferred; start Aug–Sep 2026; onsite 3 days/week in Florence KY; experience designing LLM agents and AI workflows preferred.
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%.
HumanaNYSE: HUM: Provides health insurance plans and clinical healthcare services.
7+ YOEBS/MS in CS/Engineering (or equivalent), 7+ years relevant experience with 3+ years in technical product/engineering roles for AI/ML; hands-on with LLMs and AI/ML tools; familiarity with enterprise AI governance; strong communication skills.
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
5+ YOEMaster's in quantitative field required; 5+ years experience in data science/engineering and production ML; expertise in Python, SQL, big data systems, streaming IIoT, GCP and deploying/monitoring ML at scale.
Tech MahindraNational Stock Exchange of India: TECHM: Global provider of information technology and business process services.
15+ YOEBachelor's degree required, 15+ years experience in architecture/engineering with AI/ML exposure; strong technical leadership, governance, and communication skills; experience driving engineering productivity and AI-assisted tooling.
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
5+ YOEMaster's in a quantitative field, 5+ years in data science/data engineering with production ML deployments; strong Python and SQL skills; experience with Hadoop, Apache Spark, Kafka, MQTT, BigQuery, GCP, Gemini Enterprise, Vertex AI, ML frameworks, RESTful APIs, and monitoring tools.
Principal Enterprise QA Architect, AI Health Cloud
Louisville, Kentucky, United States
OnsiteFull Time
BrightSpring Health Services: Providing home and community-based health and pharmacy services.
15+ YOE15+ years in QA/quality engineering with cloud-native systems, AI/ML validation, DevOps/CI/CD/MLOps, healthcare data/interoperability knowledge, and strong leadership.
Principal Enterprise QA Architect, AI Health Cloud
Louisville, Kentucky, United States
OnsiteFull Time
BrightSpring Health ServicesNASDAQ: BTSG: Provider of home and community-based health and pharmacy services.
15+ YOE15+ years in QA/Quality Engineering with cloud-native automation, AI/ML validation, healthcare data and compliance knowledge, DevOps/CI/CD/MLOps experience, and strong leadership.
HumanaNYSE: HUM: Provides health insurance plans and clinical healthcare services.
10+ YOE5+ Mgmt10+ years IT architecture/engineering experience, 5+ years people/project leadership, cloud and platform implementation experience, expertise in cloud-native architectures, security, DevSecOps, AI/ML, and strong communication skills.