What are the responsibilities and job description for the Senior AI / MLOps Engineer position at Metalight Solutions Inc?
Job Title: Senior AI / MLOps Engineer
Location: Pleasanton, CA (100% Onsite No Remote)
Duration: Long-Term Contract
Job Description
We are seeking an experienced Senior AI / MLOps Engineer to join our team at Client in Pleasanton, CA. This is a hands-on engineering role focused on designing, deploying, and maintaining enterprise-scale AI/ML solutions on the Microsoft Azure ecosystem.
The ideal candidate will have strong expertise in Azure Databricks, Azure Kubernetes Service (AKS), MLOps, CI/CD automation, and production AI deployments. Candidates with experience in retail or e-commerce environments and AI use cases such as recommendation engines and demand forecasting will be highly preferred.
This role requires someone who has built and supported production-grade AI platforms, automated ML pipelines, and worked closely with cross-functional engineering teams.
Responsibilities
- Design, build, and maintain end-to-end MLOps pipelines for the complete machine learning lifecycle.
- Develop scalable CI/CD pipelines for AI/ML model deployment using Jenkins and GitHub Actions.
- Build and optimize machine learning workflows using Azure Databricks.
- Deploy AI/ML applications on Azure Kubernetes Service (AKS).
- Develop and support production AI models including recommendation engines and forecasting solutions.
- Integrate AI-assisted development tools such as GitHub Copilot, Claude, or similar Agentic AI platforms.
- Monitor production AI systems and resolve incidents using enterprise monitoring tools.
- Collaborate with Data Engineers, Data Scientists, DevOps Engineers, and Product teams.
- Improve reliability, scalability, monitoring, and automation across AI platforms.
- Support enterprise AI initiatives within a large-scale cloud environment.
Required Skills
MLOps
- End-to-end Machine Learning lifecycle
- Model deployment
- Model monitoring
- Model versioning
- ML pipeline automation
- Feature pipelines
Azure
- Azure Databricks
- Azure Kubernetes Service (AKS)
- Azure Storage
- Azure Monitor
- Azure Machine Learning (preferred)
DevOps
- Jenkins
- GitHub Actions
- CI/CD
- Docker
- Kubernetes
AI / Machine Learning
- Recommendation Systems
- Forecasting Models
- ML model deployment
- Production AI platforms
Programming
- Python
- PySpark
- SQL
Production Support
- Incident Management
- ServiceNow
- PagerDuty
- Production Monitoring
Preferred Skills
- Spark
- Azure ML
- LLM applications
- Generative AI
- RAG
- LangChain
- Databricks MLflow
- Retail or E-commerce experience
- Distributed data processing
Required Experience
- 8 years of Software Engineering experience
- 4 years of Azure Cloud
- 4 years of MLOps
- Strong Azure Databricks experience
- Experience deploying AI models into Production
- Experience with Kubernetes (AKS)
- Experience building CI/CD pipelines
Salary : $55 - $70