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Cloud / Data Engineer (MLflow, english speaking) at PROSTAFF Schweiz GmbH

Basel, Basel-City, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Engineering, Data Engineering, MLflow, Azure Databricks, MLOps, CI/CD, Model Lifecycle, Monitoring, Security, Governance, Compliance, Documentation, Architecture, English Fluency

Industry

Staffing and Recruiting

Description

For a Swiss bank, a modern data platform is being built and operated. The platform integrates data from various source systems for analytics, enables exploratory analysis as well as the creation of reusable data products, and provides secure, granular access for business users (BI). MLflow Setup & Integration: Set up the tracking server, model registry, and artifact storage; integrate into on-prem environments and/or Azure Databricks (PoC); secure the setup in accordance with internal policies. MLOps Enablement: Establish CI/CD for ML models (e.g., Azure DevOps or GitHub Actions); define workflows for training, validation, deployment, and monitoring; work closely with data scientists to achieve production readiness. Documentation & Architecture: Document setups, workflows, and best practices; help shape the target architecture and migration paths. → Hybrid (3 days/week on-site) Solid hands-on experience with MLflow (on-prem and cloud), including Azure Databricks integration. Experience with MLOps tooling (CI/CD, model lifecycle, monitoring). Strong understanding of security, governance & compliance in ML workflows. Fluent English (mandatory).

Responsibilities

The role involves setting up and integrating MLflow for a modern data platform at a Swiss bank. Responsibilities include establishing CI/CD for ML models and documenting setups and workflows.