Hi
My name is Rohit Chauhan, and I am a Staffing Specialist at Novia Infotech LLC. I am reaching out to you on an exciting job opportunity with one of our clients.
Job Title: MLOps Architect (Databricks)
Location: Woodland Hills, CA
Role Overview
We are seeking a highly experienced MLOps Architect with strong Databricks implementation experience to design and deliver scalable ML/AI solutions in a multi-tenant SaaS environment on AWS.
The ideal candidate will have deep expertise in MLOps, cloud architecture, data platforms, and AI/ML lifecycle management, along with the ability to define enterprise-level strategies and mentor engineering teams.
Key Responsibilities
MLOps Architecture & Strategy
- Architect and implement scalable ML/AI infrastructure on AWS
- Define AI/ML strategy, roadmap, and best practices across the organization
- Design end-to-end MLOps pipelines for model development, deployment, monitoring, and governance
- Ensure alignment with enterprise architecture standards
Databricks & Data Platform Implementation
- Lead implementation of Databricks-based ML pipelines and workflows
- Integrate ML pipelines with enterprise data platforms such as Snowflake, Redshift, BigQuery
- Design and manage feature stores (e.g., Databricks Feature Store, Tecton)
Pipeline Orchestration & Automation
- Design and manage ML/data pipelines using:
- Apache Airflow / Kubeflow
- Argo Workflows / Argo CD
- Implement CI/CD pipelines for ML workflows
- Enable automation of infrastructure provisioning and deployment
Containerization & Platform Engineering
- Manage and optimize Kubernetes-based ML platforms
- Provide guidance on orchestration frameworks (Kubeflow vs Argo)
- Ensure scalability, reliability, and performance of ML systems
AI/GenAI & Emerging Technologies
- Implement solutions using GenAI / LLM tools (OpenAI, Gemini, etc.)
- Work with Agentic AI frameworks (LangGraph, Autogen, Google ADK)
- Enable AI-driven automation across business processes
Integration & Enterprise Architecture
- Integrate ML solutions with enterprise systems such as Guidewire, Salesforce
- Design event-driven architectures (EDA) and data mesh architectures
- Ensure secure and scalable system design across distributed environments
Governance, Security & Compliance
- Define data architecture guidelines and governance frameworks
- Ensure security and compliance in distributed ML systems
- Support regulatory requirements, especially in insurance domain (preferred)
Leadership & Stakeholder Management
- Collaborate with data scientists, engineers, and business teams
- Mentor teams on MLOps best practices and tools
- Provide architectural guidance and influence decisions using data-driven insights
Required Skills & Experience
Core Skills
- 10+ years of experience in AI/ML, Data Engineering, or Cloud Architecture
- Strong hands-on experience with Databricks (mandatory)
- Expertise in AWS ML/AI services and cloud infrastructure
- Deep knowledge of MLOps tools (SageMaker, Vertex AI, Databricks)
MLOps & Engineering
- Experience with ML pipeline orchestration (Airflow, Kubeflow)
- Hands-on with DevOps tools (Argo CD, CI/CD pipelines)
- Strong experience with Kubernetes and containerization
Data Platforms
- Experience with Snowflake, Redshift, BigQuery
- Knowledge of feature stores (Tecton, Databricks Feature Store)
AI & GenAI
- Experience with LLMs and GenAI tools (OpenAI, Gemini)
- Exposure to Agentic AI frameworks (LangGraph, Autogen)
Architecture Expertise
- Data Mesh Architecture & Data Product Design
- Event-Driven Architecture (EDA)
- Multi-tenant SaaS architecture
- Scalable, decoupled system design
- Security in distributed systems
Integration & APIs
- Experience with API orchestration (MuleSoft, Google APIs)
- Enterprise integrations (Guidewire, Salesforce preferred)
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Rohit Chauhan IT Recruiter A: 4421 Avenida Ln, McKinney, TX, 75070
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