47 cloud ml engineer jobs at 21 companies in Romulus, MI
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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
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Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
12+ YOE12+ years in software engineering/data science/AI-ML delivery; degree in CS/DS/Engineering; strong Python/SQL; experience deploying enterprise AI/ML; knowledge of cybersecurity/IAM; Power BI; Agile; cloud/MLOps.
Python, SQL, Power BI, JIRA, Azure, AWS, GCP, MLOps
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
5+ YOE5+ years software engineering experience, bachelor’s in CS or related, cloud deployment experience (GCP/PCF/Azure), familiarity with ML and data engineering tools, strong coding and collaboration skills.
GCP, PCF, Azure, Terraform, BigQuery, Java, Python, SQL, Test-Driven Development (TDD), Spring Boot, Cloud Run, Angular, React, Vue, Kubernetes Engine (GKE), Google Cloud Storage (GCS), Cloud SQL, Cloud IAM, Jenkins, Tekton, GitHub Actions, Git, GitHub, Docker, Podman, Cloud Build and Deploy, Artifact Registry, Splunk, Dynatrace, Grafana, Apigee, Cloud Logging, SonarQube, Fossa, Cycode, Checkmarx, Big Data, PySpark, Microsoft SQL Server, PostgreSQL, MySQL, Google Vertex AI, XGBoost, CatBoost, Oozie, Apache Airflow, Astronomer, Vertex AI Endpoints
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years designing, building, and operating production cloud systems; CS degree or equivalent; strong Go/Python; Unix/Linux; leadership and mentoring experience.
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
8+ YOEBachelor's in CS/Data Science or related; 8+ years software engineering with 3-5 years AI/ML; proficiency in Python, TensorFlow, Scikit-learn, RAG; strong statistics, ML/deep learning, cloud and DevOps experience; proven production deployments.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
8+ YOEBachelor's in CS/Data Science/AI required (advanced degree preferred). 8+ years software engineering with 3–5 years AI/ML experience. Proficiency in Python, ML libraries, cloud, DevOps, Git, CI/CD, and production deployment experience.
Slalom: Provides business and technology consulting and software engineering services.
4+ YOE4+ years building data, AI, or ML solutions; hands-on Python and production software engineering; experience with cloud hyperscalers, enterprise data platforms, EMR/SQL/data pipelines, responsible AI practices, and client-facing delivery.
Birmingham or Chicago or Fort Lauderdale or New York
$151k-$196k/yrHybridFull Time
OneStreamNASDAQ: OS: AI-driven enterprise finance platform for unified planning and reporting.
3+ YOEBachelor's degree or equivalent experience; 3+ years building and deploying production ML solutions; 3+ years Python, frontend development experience; proficiency in DB schema design and cloud/distributed systems; experience with Flask/FastAPI.
Panasonic Automotive Systems Company of America: Designs and manufactures automotive infotainment and connected vehicle systems.
5+ YOEBachelor's degree in a technical field; 5+ years software/data/ML engineering; Python, APIs, cloud; experience with generative AI, LLMs, retrieval-augmented generation; scalable AI apps.
Python, APIs, Cloud Services, Development Frameworks, AI Frameworks, LLMs, Vector Databases
HARMAN: Produces connected technologies and audio systems for vehicles and consumers.
8+ YOE8+ years in production software; Python/Node.js; ML/AI; cloud and infra; data & storage; observability; strong communication; BS/MS/PhD or equivalent experience.
AI Engineer / Data Scientist, AI Experienced Associate
Chicago or Stamford or Los Angeles or Washington or Boston or Detroit or New York or Florham Park or Dallas or San Francisco or San Jose
$63k-$142k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
1+ YOEBachelor's degree,1+ year experience in AI/ML development or testing,experience with data wrangling,model development and deployment;cloud/data platform credentials preferred.
AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake
Principal Software Engineer – AI Platform & Architecture
Eagan or Frisco or Brooklyn or Toronto or Ann Arbor
$159k-$340k/yrHybridFull Time
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
8+ YOE8+ years full-stack development experience with architecture leadership; expertise in C#, .NET, cloud (AWS/Azure), Python for AI/ML, distributed systems, APIs, front-end frameworks, and strong communication skills.
Director of Machine Learning & Artificial Intelligence
Ann Arbor, Michigan, United States
OnsiteFull Time
Domino'sNASDAQ: DPZ: Global pizza chain providing delivery and carryout services.
12+ YOE5+ Mgmt12+ years in AI/ML with 5+ years in senior leadership; hands-on experience with production ML systems, GenAI/LLMs, ML Ops, cloud, containerization, and stakeholder management.
ALTENEuronext Paris: ATE: Provides engineering and technology consulting services to industrial clients.
12+ YOE5+ Mgmt12–15 years in consulting/engineering/technology with 5+ years leading AI/Data teams; experience with generative AI, ML frameworks, data engineering, cloud AI services, MLOps; bachelor's in CS/Data/AI or related required.
Chicago or Detroit or Minneapolis or St. Louis or Kansas City or Omaha or Columbus or Tulsa or Nashville or Austin
$185k-$235k/yrFieldFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOE10+ years in technical pre-sales/solutions architecture; hands-on AI/ML infrastructure design across GPU, storage, networking and MLOps; NVIDIA and cloud platform experience; bachelor's degree required; strong presentation and whiteboarding skills.
NVIDIA DGX, NVIDIA HGX, CUDA, AI Enterprise, NeMo, Omniverse, Advanced Technology Center (ATC), AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, MLOps