Machine Learning Operations Engineer

Tata Consultancy Services; Estado de México; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Major Medical Insurance

Life Insurance

Grocery Vouchers

Christmas Bonus

Vacation days (Mexican law)

Profit Sharing (PTU)

Descripción de la vacante

Tata Consultancy Services is seeking a senior engineer to architect and implement production-grade Databricks and MLOps pipelines. You will design ABAC access controls within Unity Catalog, integrate Delta Lake with DLT and Lakeflow, and ensure robust rollback strategies across CI/CD and cloud environments.

Candidates should demonstrate hands-on experience with GitHub Actions or Azure DevOps, Terraform for environment promotion, and strong Azure RBAC design, including Unity Catalog integration.

Formación

• Databricks enterprise production: Delta Lake, DLT, Lakeflow, DABs; Unity Catalog ABAC with column/row-level access controls.
• MLOps in production: MLflow, model registry, serving, monitoring, rollback with a real rollback example.
• DevOps core: GitHub Actions or Azure DevOps, Terraform, environment promotion, secrets management.
• Azure depth: IAM, networking, RBAC in Azure and integration with Unity Catalog.

Conocimientos

DAB-based CI/CD

ABAC enforcement

MLOps in production

Unity Catalog ABAC

Genie/Mosaic integration

Runbook creation

Herramientas

GitHub Actions

Azure DevOps

Terraform

Databricks

MLflow

Delta Lake

Descripción del empleo

(Candidate needs to be located or relocate to Querétaro, CDMX, Guadalajara or Monterrey, it will be requested to attend office at least 3 day per week)

Job summary:

Technical Skills

• DAB-based CI/CD standard wired into GitHub Actions, documented and repeatable


• ABAC enforcement pattern built into Unity Catalog at the platform layer


• MLOps path to production: MLflow registry, model serving, monitoring, rollback


• Databricks AI Gateway config: rate limiting, audit logging, endpoint governance


• Genie/Mosaic integration: metric views in Unity Catalog, extensible by the team


• Runbook per pattern: operable by a senior engineer without prior context

Must-have

• Databricks enterprise production: Delta Lake, DLT, Lakeflow, DABs. Real tenure, not coursework. Unity Catalog ABAC: the differentiator. ABAC design, column-level lineage, row filters, or dynamic views for access enforcement. RBAC-only is a no.


• MLOps in production: MLflow, model registry, serving, monitoring, rollback. Must cite a rollback executed.


• DevOps core: GitHub Actions or Azure DevOps, Terraform, environment promotion, secrets management.


• Azure depth: IAM, networking, RBAC at Azure layer and how it composes with Unity Catalog.

Nice-to-Have Experience

• Databricks AI Gateway, MCP, agent/LLM serving


• Genie or Mosaic AI against a governed semantic layer


• Informatica, Synapse, or legacy warehouse migration


• System tables, cost attribution, FinOps guardrails


• Major Medical Insurance


• Life Insurance


• Grocery Vouchers


• Christmas Bonus


• Vacation days according to Mexican labor law


• Profit Sharing (PTU)

Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression, age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.