4 ml platform engineer jobs at 4 companies in Adrian, MI
2w
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Powertrain Applications Engineer
Dearborn, Michigan, United States
$74k-$166k/yr HybridFull Time
5+ YOEBachelor's in engineering or equivalent,5+ years engineering experience,proficiency in ColdFusion/Python/Java/JavaScript/TypeScript/HTML5/CSS3,React/Angular/jQuery,SQL Server or Oracle,REST APIs,cloud platforms,CI/CD,Docker,Kubernetes,and AI/ML experience.
ColdFusion, Python, Java, JavaScript, TypeScript, HTML5, CSS3, React, Angular, jQuery, SQL Server, Oracle, REST API, Git, GitHub, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure OpenAI, Azure, AWS, Google Cloud Platform (GCP), CI/CD, Docker, Kubernetes
1w
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Principal Engineer - Finance AI Solutions
Novi, Michigan, United States
$125k-$184k/yr HybridFull Time
8+ YOE8+ years building production software and ML/AI systems, expertise with LLMs/agents, Python/Node.js, cloud and infra, model selection/tuning, data platforms, and partnering with Finance.
Python, FastAPI, NumPy, Pandas, scikit-learn, Pydantic, Jinja2, Node.js, PyTorch, Transformers, TensorFlow, Keras, LangChain, LlamaIndex, OpenAI, Anthropic, Meta/Llama, Mistral, AWS Bedrock, AWS, S3, EC2, Lambda, CloudWatch, Fargate, EKS, ECS, Azure, GCP, Databricks, Docker, Kubernetes, Terraform, CI/CD, Airflow, Kafka, PostgreSQL, DynamoDB, Elasticsearch, Pinecone, Weaviate, FAISS, Milvus, pgvector, Snowflake, Delta Lake, BigQuery, MS Fabric
3mo
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Forward Deployed Engineer
Ann Arbor, Michigan, United States
$112k-$190k/yr OnsiteFull Time
3+ YOEBuild and deploy AI infrastructure and tools; own internal AI platform; collaborate with R&D; 3+ years ML/AI production experience; Python; on-prem deployment.
Python, Machine Learning Frameworks, Model Serving, CI/CD, Containerization, Orchestration, Infrastructure as Code
1mo
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AI Solutions Architect - Central Region
Chicago or Detroit or Minneapolis or St. Louis or Kansas City or Omaha or Columbus or Tulsa or Nashville or Austin
$185k-$235k/yr FieldFull Time
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