Software Engineer III- Python & MLOps
Job in
Rio Rancho, Sandoval County, New Mexico, 87174, USA
Listed on 2026-06-20
Listing for:
Confiz Limited
Full Time
position Listed on 2026-06-20
Job specializations:
-
IT/Tech
Data Engineering, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Confiz is seeking a python focused engineer with strong experience in MLOps and Dev Ops to join our growing team in Mexico.
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 big query, looker and tableau.
- Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools.
Skills and Qualifications
- Hands‑on experience with Vertex AI, or other similar platforms like Amazon Sage Mager,
- Understanding of different model and its model deployment, monitoring, and scaling in production environment
- Proficiency in Python
- Basic knowledge on reporting tools like Tableau, looker, big query (SQL)
- Experience with Ecommerce, understand general digital ecommerce concepts
- Experience with Kubernetes or other containerized orchestration platforms
- Basic knowledge of cloud technologies (e.g., AWS, GCP)
- Familiarity with security best practices in cloud and containerized environments.
- 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.
- 5+ years of experience in MLOps, Dev Ops, 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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