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Sr. ML Ops Engineer at NTT DATA
Ciudad de México, , Mexico -
Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Python, PySpark, SQL, Data Pipelines, Airflow, Model Validation, Deployment, Collaboration, Cloud Platforms, AWS Sagemaker, Databricks, CI/CD Pipelines, Version Control, Data Visualization, Automotive Industry

Industry

IT Services and IT Consulting

Description
Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives. Collaborate with data scientists and engineers to translate business requirements into technical solutions. Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL. Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools. Participate in model validation, testing, and deployment processes. Communicate findings and model insights effectively to both technical and non-technical stakeholders. Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products. Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required. Ability to work collaboratively in a team and communicate technical concepts clearly. Experience deploying machine learning models in production environments. Exposure to CI/CD pipelines and version control systems like GitHub. Knowledge of data visualization tools such as Power BI or Tableau. Interest or experience in the automotive industry.
Responsibilities
Develop and implement machine learning models to support customer-centric business initiatives. Collaborate with data scientists and engineers to translate business requirements into technical solutions.