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Freelance Senior AI Platform Expert - Azure Databricks
Contract type
Freelance
Work mode
Remote
Experience
Senior · 8+ years
Job description
An experienced freelancer to act as a senior technical advisor for an internal platform team building and improving an AI platform on Azure Databricks. The role is internal only, with no client-facing responsibilities, and focuses on architecture, engineering standards, reviews and mentoring.
At a glance
- Employment
- Freelance · Independent contractor
- Work mode
- Remote
- Languages
- English
What you'll do
- Defining and reviewing the target architecture on Azure Databricks, covering workspaces, environments (dev/test/prod), Unity Catalog, security, networking and integration with Azure services
- Advising on CI/CD/CT pipelines for code, data and models, including automated testing, promotion across environments, model registry workflows and continuous training triggered by schedules, drift or new data
- Reviewing architecture decisions, code, Terraform configurations and pipeline implementations, providing actionable recommendations and identifying areas for improvement
- Defining reusable MLOps standards, templates and engineering best practices
- Supporting platform reliability, scalability, governance, security and operational excellence
- Contributing hands-on when needed to unblock the team, troubleshoot technical challenges or develop reference implementations
- Coaching team members, facilitating design and code reviews, and transferring knowledge to help the team become increasingly autonomous
What we're looking for
- Extensive experience in data engineering, ML engineering, platform engineering or MLOps, ideally with at least 8 years of relevant experience
- Strong practical experience with Azure Databricks in production environments, ideally at least 3 years
- Solid knowledge of MLOps and the Databricks ecosystem, including MLflow, model registry, Model Serving, Feature Engineering, Databricks Workflows and monitoring
- Experience designing and implementing CI/CD/CT pipelines, ideally using GitLab, and infrastructure-as-code practices
- Hands-on experience with Terraform and cloud infrastructure, ideally using the Databricks and Azure providers
- Solid knowledge of Azure services, including ADLS Gen2, Key Vault, Entra ID and cloud networking (VNet injection, private endpoints)
- Strong Python and PySpark skills, alongside software engineering best practices such as testing, packaging and code quality
- Experience with Unity Catalog, including data governance, lineage and access control
- Proven ability to mentor engineers, conduct design and code reviews, and establish technical standards
Nice to have
- Experience with GenAI/LLMOps on Databricks, including technologies such as Vector Search, Mosaic AI Agent Framework and AI Gateway
- Experience implementing secure, private-network cloud environments and working with sensitive data
Your team
internal platform team
Apply
Direct apply at Visium
Opens the job posting at Visium
About Visium
Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems. It combines strategy, deep technical and integration expertise, and product, working as one.
Mission
To build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale.
Key facts
- Combines strategy, frontier AI, and deep regulated-industry expertise
- Built to be the 5% of enterprise AI pilots that reach production
- AI-native, not AI-adjacent
What they value
- Obsessed with outcomes
- AI-native