Responsibilities :
Build tools for automation around ML workflows orchestration and model deployments using CI / CD workflows
Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools
Write clean, maintainable code in Python, Go and other object-oriented programming languages (e.g., Java).
Troubleshoot and resolve issues related to ML workflow deployments
Generate and maintain operational reporting pipeline through tools like BigQuery, Looker and Tableau.
Collaborate with data scientists to improve developer workflows and ensure seamless integration with tools.
Skills and Qualifications :
Proficiency in Python
Basic knowledge on reporting tools like Tableau, Looker, BigQuery (SQL)
Experience with Kubernetes or other containerized orchestration platforms
Basic knowledge of cloud technologies (e.g., AWS, GCP)
Ability to write unit tests, integration tests, and provide clean, reusable code.
Passion for utilizing GenAI to reduce manual process
Bachelor's degree in computer science, Engineering, or a related field.
1-3 years of experience in MLOps, DevOps, or a related role.
Strong problem-solving skills and attention to detail.
Ability to work in a fast-paced, dynamic environment.
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Software Engineer • Monterrey, Nuevo León, Mexico