Mid - Senior Data Scientist (Azure/Python)

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.

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

• →Architect end-to-end ML infrastructure, including pipelines, model serving, monitoring, and governance.
• →Lead deployment of high-impact ML solutions such as forecasting engines, optimization models, and NLP use cases.
• →Design and manage advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks.
• →Implement model registry, versioning, lineage, and audit-compliant governance frameworks.
• →Build and maintain monitoring systems to detect model drift and automate retraining cycles.
• →Mentor MLOps engineers and collaborate with platform, data, and product teams to ensure seamless integration.
• →Drive adoption of MLOps best practices across containerization, observability, testing, and scalable infrastructure.

• 3-5 years of experience in ML Engineering, MLOps, or building large-scale ML systems.
• Strong expertise with Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
• Proven track record deploying ML solutions at enterprise scale with audit, governance, and monitoring layers.
• Experience designing ML infrastructure and CI/CD pipelines in cloud environments.
• Knowledge of hybrid or multi-cloud architectures.
• Bachelor’s degree required; Master’s preferred in Computer Science, Engineering, or related fields.

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.