Freelance Senior AI Platform Expert - Azure Databricks
About the job
- Extensive experience in data engineering, machine-learning 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 such as VNet injection and 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.
- Advise and support the internal platform team in designing, building, and improving an AI platform on Azure Databricks; the role has no client-facing responsibilities.
- Act as a senior technical reference for the team, helping shape architecture, establish engineering standards, review technical implementations, and support a reliable, scalable, and secure platform.
- Define and review the target architecture on Azure Databricks, covering workspaces, development/test/production environments, Unity Catalog, security, networking, and integration with Azure services.
- Advise 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.
- Review architecture decisions, code, Terraform configurations, and pipeline implementations; provide actionable recommendations and identify areas for improvement.
- Define reusable MLOps standards, templates, and engineering best practices.
- Support platform reliability, scalability, governance, security, and operational excellence.
- Contribute hands-on when needed to unblock the team, troubleshoot technical challenges, or develop reference implementations.
- Coach team members, facilitate design and code reviews, and transfer knowledge to help the team become increasingly autonomous.
- Experience with GenAI/LLMOps on Databricks, including Vector Search, Mosaic AI Agent Framework, and AI Gateway.
- Experience implementing secure, private-network cloud environments and working with sensitive data.
About the company
Visium is a European-focused AI and data solutions partner that blends strategy consulting with hands-on AI engineering to help organizations turn data into action. It works across healthcare, chemicals, and financial services, using exclusive assets and toolkits, cloud engineering, and expert guidance to deliver end-to-end AI projects from data strategy to production deployment. Visium differentiates itself by bringing AI initiatives into production six times faster than the industry standard, supported by its asset toolkit and disciplined execution. Services are delivered through strategic collaborations and consulting, with offices in Lausanne, Valencia, and Sarajevo to maintain close client relationships across Europe. The company’s goal is to enable sustainable growth for clients by leveraging data and AI responsibly and efficiently, through ethical practices and a committed governance framework.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Prilly, Switzerland
Founded
2018
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Simplify's Take
What believers are saying
- The May 2026 funding supports hiring and product expansion across Europe and the United States.
- Regulated-industry demand strengthens Visium's positioning in life sciences and specialty chemicals.
- Partnership momentum, including Paradigmadigital, extends Visium beyond Switzerland into larger European accounts.
What critics are saying
- Consulting revenue depends heavily on Roche, Novartis, and pharma buyers spending budgets in 2026.
- ISO/IEC 27001 remains planned for 2026, slowing sales into regulated procurement cycles.
- Generative-AI competition from Deloitte, IBM Consulting, and Cognizant compresses pricing within 12 months.
What makes Visium unique
- Lausanne-based Visium closed its first institutional round with Columbus Venture Partners and Concentric in May 2026.
- Visium built 250-plus AI solutions across Roche, Novartis, and dsm-firmenich by 2026.
- Visium combines consulting with production delivery across regulated industries, not generic enterprise AI.
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Benefits
- Flexible Work Hours
- Professional Development Budget
- Hybrid Work Options