Machine Learning Engineer

Austin, Texas, United States of America Contract BI & Data Analytics Remote

Reference: GCSJOB--041_1785296319

Machine Learning Engineer

Position Overview

We are looking for a Machine Learning Engineer I with strong Python programming skills to develop, deploy, and optimize machine learning solutions for ad monetization and personalization. You'll collaborate with cross-functional teams to build scalable ML pipelines, enhance recommendation and targeting models, and deliver production-ready AI solutions that improve user engagement and business outcomes.

Key Responsibilities

  • Develop, train, and deploy machine learning models for personalization, recommendation, and customer experience applications.
  • Build and maintain scalable data pipelines for feature engineering, model training, validation, and inference.
  • Collaborate with machine learning scientists, data engineers, and software engineers to transition research models into production.
  • Enhance recommendation and ranking models using customer behavioural and transactional data.
  • Monitor, evaluate, and improve model performance through experimentation, A/B testing, and data-driven analysis.
  • Write clean, efficient, and maintainable Python code following software engineering best practices.
  • Optimize machine learning workflows to improve customer engagement and support business objectives.
  • Participate in model deployment, monitoring, troubleshooting, and continuous improvement initiatives.
  • Document machine learning processes, model performance, and technical solutions to support collaboration and knowledge sharing.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related field.
  • 1-3 years of experience in machine learning, including internships, research, or professional experience.
  • Strong programming skills in Python.
  • Solid understanding of machine learning concepts, including supervised learning, feature engineering, model evaluation, classification, and regression.
  • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Experience working with SQL and large datasets.
  • Familiarity with Git and software development best practices.

What You'll Learn

  • Build and deploy production-ready machine learning models at scale.
  • Gain hands-on experience with recommendation systems, personalization, and ranking algorithms.
  • Learn best practices for feature engineering, model monitoring, and performance optimization.
  • Work with large-scale data processing and modern machine learning pipelines.
  • Develop expertise in experimentation frameworks, A/B testing, and data-driven decision-making.
  • Collaborate with experienced machine learning engineers, software engineers, and data scientists on real-world AI solutions.
  • Strengthen your understanding of MLOps concepts, including model deployment, versioning, and lifecycle management.
  • Improve your software engineering skills by contributing to scalable, maintainable, and production-quality codebases.

GCS is acting as an Employment Business in relation to this vacancy.

COMPETITIVE SALARY

Austin, Texas, United States of America Contract BI & Data Analytics Remote

Added 29/07/2026
Reference: GCSJOB--041_1785296319

Machine Learning Engineer

Austin, Texas, United States of America Contract BI & Data Analytics Remote

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