AI/ML Architect - W2 only - Grand Rapids MI
Role details
Job location
Tech stack
Job description
Seeking an experienced AI/ML Architect to design and deliver scalable AI solutions, focusing on Generative AI, LLMs, and enterprise ML systems. Key Responsibilities Define AI/ML architecture strategy Design end-to-end solutions (GenAI, LLMs, ML models) Build scalable data pipelines (batch & streaming) Implement MLOps (deployment, monitoring, versioning) Collaborate with data/AI teams and drive best practices Evaluate and adopt new AI technologies, Join Our Community of Food People! Join Our Team as a Territory Manager - Where Passion Meets Opportunity! Are you ready to build relationships, drive sales, and make a meaning…
- 2 days ago
Requirements
10+ years in software/data science; 3-5+ years in AI/ML architecture Strong experience in RAG, LLMs, NLP, deep learning Python with TensorFlow / PyTorch / Scikit-learn Cloud: AWS / Azure / GCP Data engineering (ETL, data lakes, streaming) MLOps: MLflow, Kubeflow, SageMaker, Vertex AI APIs, microservices, distributed systems Vector databases (Pinecone, FAISS, etc.) DevOps / CI-CD for ML AI governance & compliance
Benefits & conditions
- $55,000-95,000 per year