**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: ***Key Responsibilities*** * 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. ***Must\-have Skills*** * 5–8\+ 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. ***Nice\-to\-have:*** * **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. **What we offer:** * A High\-Impact Environment * Commitment to Professional Development * Flexible and Collaborative Culture * Global Opportunities * Vibrant Community * Total Rewards * *Specific benefits are determined by the employment type and location.* Find out more about our culture here.