Python Developer

TSR Consulting; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

TSR Consulting seeks a Python Engineer C12 in Irving, TX to design, build, and deploy analytical and machine learning solutions. You will develop Python-based applications, process structured and unstructured data, and contribute to end-to-end ML models in production.

The role requires 2–5 years in software engineering/data science, strong Python and SQL skills, and familiarity with Spark/PySpark and AI frameworks. You will collaborate across teams in a fast-paced environment.

Qualifications

• Proficiency in Python and SQL; experience with Spark or PySpark, and frameworks such as TensorFlow or similar.
• Experience building applications and analytical solutions in Python.
• Familiarity with ML concepts, model development, and AI technologies.
• Knowledge of Linux environments and shell scripting.
• Strong analytical and problem-solving skills with effective communication.
• 2–5 years of experience in software engineering, data science, ML, or advanced analytics.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Responsibilities

• Design, develop, test, and support Python-based applications and analytical solutions.
• Extract, cleanse, transform, and analyze structured and unstructured data.
• Develop and enhance predictive and prescriptive models using statistical, ML, and AI techniques.
• Support implementation of ML solutions across development and production environments.
• Apply object-oriented programming and engineering standards to deliver quality solutions.
• Collaborate with business, technology, and data teams to translate requirements into solutions.
• Contribute to design, coding, testing, debugging, and deployment activities.
• Participate in model development, monitoring, and performance evaluation.
• Utilize Python and SQL to develop scalable analytical solutions; work with Spark or PySpark as needed.
• Develop and maintain automation and scripts using Linux and shell scripting.
• Implement unit testing and support test-driven development practices.
• Document technical solutions, methodologies, and processes.
• Stay current with ML, DL, LLMs, and GenAI trends and tools.
• Adhere to technology risk, security, compliance, and control requirements.

Skills

Python

SQL

Spark/PySpark

TensorFlow

ML concepts

Education

Bachelor's or Master's in Computer Science/Data Science/Statistics/Math/Engineering

Tools

Hadoop

Hive

Spark

Linux

Job description

We are seeking a Python Engineer C12 to join our team. The ideal candidate will have strong experience in Python, SQL, and data engineering for server-side applications and a proven ability to design, build, and deploy analytical and machine learning solutions.

Responsibilities:

• Design, develop, test, and support Python-based applications and analytical solutions.
• Extract, cleanse, transform, and analyze structured and unstructured data.
• Develop and enhance predictive and prescriptive models using statistical, ML, and AI techniques.
• Support implementation of ML solutions across development and production environments.
• Apply object-oriented programming and engineering standards to deliver quality solutions.
• Collaborate with business, technology, and data teams to translate requirements into solutions.
• Contribute to design, coding, testing, debugging, and deployment activities.
• Participate in model development, monitoring, and performance evaluation.
• Utilize Python and SQL to develop scalable analytical solutions; work with Spark or PySpark as needed.
• Develop and maintain automation and scripts using Linux and shell scripting.
• Implement unit testing and support test-driven development practices.
• Document technical solutions, methodologies, and processes.
• Stay current with ML, DL, LLMs, and GenAI trends and tools.
• Adhere to technology risk, security, compliance, and control requirements.

Required Skills & Qualifications:

• Proficiency in Python and SQL; experience with Spark or PySpark, and frameworks such as TensorFlow or similar.
• Experience building applications and analytical solutions in Python.
• Familiarity with ML concepts, model development, and AI technologies.
• Knowledge of Linux environments and shell scripting.
• Strong analytical and problem-solving skills with effective communication.
• 2–5 years of experience in software engineering, data science, ML, or advanced analytics.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Preferred Skills:

• Exposure to GenAI and LLM-based solutions.
• Experience with distributed computing technologies such as Hadoop, Hive, or Spark.
• Experience in banking, financial services, or risk management.
• Familiarity with credit risk, capital markets, financial instruments, or quantitative modeling.
• Understanding of SDLC, CI/CD, and cloud-based development environments.