Junior Data Scientist

hace 2 horas

Ciudad de México, Ciudad de México Wizeline A tiempo completo

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:

  • Design and develop MLOps pipelines for model training, deployment, and retraining.
  • Containerize models using Docker and deploy via Azure Databricks or AKS.
  • Implement CI/CD workflows with MLflow and GitHub Actions.
  • Monitor model performance and data drift using Azure-native tools.
  • Collaborate with Data Scientists and Engineers to integrate models into business systems.
  • Document, standardize, and optimize ML deployment processes.

Must-have Skills:

  • Bachelor's in Computer Science, Data Engineering, or a related field.
  • 3–5 years of experience in MLOps, ML Engineering, or DevOps for ML.
  • Proficient in Spark and MLflow; strong experience in Databricks and Azure ML.
  • Solid Python and SQL skills; knowledge of containers (Docker/Kubernetes).
  • Familiar with CI/CD concepts and tools like Azure DevOps or GitHub Actions.

Nice-to-have:

  • Familiarity with Kubernetes (AKS), Terraform, and model observability practices.
  • Experience deploying Power BI dashboards that consume predictions.

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.

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