Senior Python Engineer - ML & Data Solutions (Hybrid)

Centillion Infotech LLC

Irving (TX)

Hybrid

USD 120,000 - 180,000

Full time

11 days ago
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Job summary

Centillion Infotech LLC in Irving, TX is seeking a Senior Python Software Engineer to design, develop, and support scalable analytical and server-side solutions using Python, SQL, Spark, and ML techniques.

You will work in a hybrid model (3 days on-site, 2 days remote) and collaborate with data and engineering teams to deliver production-ready data platforms, pipelines, and predictive models.

Qualifications

  • Bachelor's or Master's degree in a quantitative field such as CS, Data Science, or Engineering.
  • Strong experience with Python, SQL, and data engineering in production environments.
  • Experience building ML/AI models and deploying them at scale.
  • Familiarity with Spark/PySpark, Linux, and CI/CD in cloud-based workflows.

Responsibilities

  • Develop, test, and support Python-based applications and analytics solutions.
  • Extract, cleanse, transform, and analyze structured and unstructured data.
  • Develop and deploy predictive ML/AI models and monitor them in production.
  • Collaborate with data, technology, and business teams to deliver solutions.
  • Ensure security and compliance in all data-driven work.
  • Document technical solutions and processes.

Skills

Python
SQL
Spark / PySpark
Data Engineering
Machine Learning / AI
TensorFlow
Linux & Shell
Object-Oriented Programming
Unit Testing / TDD
SDLC & CI/CD
Cloud-based development

Education

Bachelor's or Master's in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field.

Job description

Centillion Infotech LLC in Irving, TX is seeking a Senior Python Software Engineer to design, develop, and support scalable analytical and server-side solutions using Python, SQL, Spark, and ML techniques.

You will work in a hybrid model (3 days on-site, 2 days remote) and collaborate with data and engineering teams to deliver production-ready data platforms, pipelines, and predictive models.

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