Junior Data Scientist
mexicoFull-TimeJuniorAI / Data Science
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.
- 2–4 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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