AI ML Ops Software Engineer
Core
Design, develop, and maintain stable and reliable AI/ML Ops platforms and pipelines to package and deploy reproducible, interpretable AI/ML services to production.
Role type
Senior IC AI/ML Ops Software Engineer
Builds
Production-ready AI/ML services, automated model deployment pipelines, and optimized training/serving infrastructure
Domain
Enterprise SaaS, AI/ML Ops, Data Lakehouse
Deliverable
production ML models
Required skills
Python, SQL, Kubernetes, Terraform, AWS/Azure/GCP, MLflow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph, LangChain, LangGraph, Docker, serverless platforms, observability, monitoring, alerting, cost optimization
Preferred skills
Databricks Lakehouse ecosystem, enterprise SaaS experience, petabyte-scale data handling, GPU/CPU optimization
Technologies
Docker, Kubernetes, Terraform, MLflow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph, LangChain, LangGraph, AWS, Azure, GCP
Responsibilities
Design and implement automated model deployment pipelines; Provision and optimize training and serving infrastructure; Implement monitoring for model performance, data drift, and latency; Automate model retraining and data pipeline workflows; Manage foundation-model deployments and RAG stacks; Optimize GPU and CPU utilization for low-latency inference
Seniority
Mid-Senior, hands-on IC
