CONFIDENTIAL Sr. Specialist, Machine Learning Engineering
Core
Design, build, and scale production-grade AI, machine learning, and generative AI solutions to deliver business impact.
Role type
Senior IC Machine Learning Engineer (MLOps/LLMOps)
Builds
Scalable ML platforms, production pipelines, model deployment frameworks, and MLOps/LLMOps capabilities
Domain
Healthcare / Enterprise AI
Deliverable
production ML models
Required skills
Python, MLOps, Azure Machine Learning, Azure Databricks, CI/CD, Docker, Cloud deployment, Model monitoring, Root cause analysis
Preferred skills
Generative AI, LLMs, Azure AI Foundry, Prompt engineering, RAG architectures, Terraform, Kubernetes, AI governance
Technologies
Azure Machine Learning, Azure Databricks, Docker, Terraform, Kubernetes, AKS
Responsibilities
Lead design and deployment of enterprise-scale AI/ML and LLM solutions; Build and productionize ML pipelines; Establish MLOps and LLMOps practices; Develop scalable deployment architectures; Partner with data scientists to transition prototypes to production; Implement model observability and drift detection; Mentor engineers and promote engineering excellence
Seniority
Senior, hands-on IC
