Data Scientist - ML Engineering

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 across pipelines, serving, monitoring, and governance. - Lead deployment of high-impact models (forecasting engines, optimization solvers, NLP models). - Design advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks. - Implement model registry, versioning, lineage, and audit compliance. - Build monitoring systems for model drift and retraining automation. - Mentor MLOps engineers and guide cross-functional platform integration. - Drive adoption of MLOps best practices, from containerization to observability. Must-have Skills - 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. 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. - Leadership experience in ML platform or DevOps teams. - Experience with feature stores and feature engineering. AutoML is a plus, H2O is a plus. 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.