Job Description
We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
With the right people and the right ideas, there's no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let's make sure you're a good fit for the role:
Requirements
Bachelor's required; Master's preferred in CS, Engineering, or related.
5–8+ years in ML Engineering, MLOps, or high-scale ML systems.
Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
Proven track record deploying ML at enterprise scale with audit and monitoring layers.
Familiarity with hybrid/multi-cloud infrastructure.
Soft Skills
Strategic, persuasive, and business-oriented communication.
Strong stor...
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
With the right people and the right ideas, there's no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let's make sure you're a good fit for the role:
Requirements
Bachelor's required; Master's preferred in CS, Engineering, or related.
5–8+ years in ML Engineering, MLOps, or high-scale ML systems.
Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
Proven track record deploying ML at enterprise scale with audit and monitoring layers.
Familiarity with hybrid/multi-cloud infrastructure.
Soft Skills
Strategic, persuasive, and business-oriented communication.
Strong stor...
Ready to Apply?
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