Data Scientist- ML Engineering
WIZELINE(1 month ago)
About this role
A Senior MLOps role at Wizeline responsible for enabling enterprise-scale AI by shaping ML infrastructure, governance, and platform capabilities. The position exists within an AI-native engineering organization and focuses on delivering auditable, scalable ML systems while promoting best practices and adoption across teams. The role also supports professional development through mentoring and cross-functional collaboration.
Required Skills
- MLOps
- ML Engineering
- Spark
- Azure Databricks
- MLflow
- Kubernetes
- Docker
- Model Serving
- Model Monitoring
- CI/CD
+12 more
Qualifications
- Bachelor's Degree in Computer Science, Engineering or related field
- Master's Degree Preferred
About WIZELINE
wizeline.aiWizeline is a global technology services and AI-driven product engineering company that helps enterprises design, build, and scale digital products. They combine software engineering, data, and AI expertise to modernize platforms and deliver custom solutions across industries like fintech, media, healthcare, and retail. Wizeline also emphasizes nearshore delivery and strong product strategy to help teams move faster while maintaining quality and scalability.
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