Postúlate en Kit Empleo: kitempleo.com.co/empleo/1amhqn

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 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
- Versátil and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
- Specific benefits are determined by the employment type and location.

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1amhqn

📌 Data Scientist (Colombia)
🏢 Wizeline
📍 Colombia