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We are:

Empresa confidencial, 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
- Integral Opportunities
- Vibrant Community
- Total Rewards

*Specific benefits are determined by the

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1b000q

📌 Data Scientist (Colombia)
🏢 Importante empresa
📍 Colombia