Summary: Wizeline is seeking an experienced ML Engineer to leverage AI-powered digital products and platforms, driving business transformation through growth, collaboration, and impact. Highlights: 1. Develop cutting-edge, AI-powered digital products and platforms. 2. Strategic, persuasive, and business-oriented communication. 3. Opportunity to leverage AI tools to optimize day-to-day work. **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** 1\. Strategic, persuasive, and business\-oriented communication. * Strong storytelling to explain, defend, and "sell" complex solutions. * Ability to lead complex conversations with clients and senior stakeholders. * Clear, structured, and confident responses to objections or ambiguous scenarios. * Ability to translate technical topics into business impact and decision\-making. * Ability to build trust, credibility, and alignment through communication. ***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.