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Machine Learning Engineer, Application

Gametime

$195,000 - $230,000
Aug 20, 2025
Remote, US
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Gametime needs a Machine Learning Engineer to design, develop, and deploy AI/ML solutions to improve user experiences, business operations, and overall revenue.

Requirements

  • Experience in the end-to-end development and deployment of machine learning solutions, including successfully transitioning models to production environments.
  • Strong programming proficiency, particularly in Python and SQL
  • Understanding of software engineering best practices and principles as applied to machine learning system development.
  • Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with MLOps practices.
  • Hands-on experience with key machine learning frameworks and libraries (e.g., PyTorch, Scikit-Learn, XGBoost)
  • Expertise in relevant AI subfields such as Deep Learning, Natural Language Processing (NLP), and Computer Vision
  • Familiarity with Large Language Models (LLMs) and other advanced AI tools, including potential applications of AI agents

Responsibilities

  • Lead the design and implementation of robust, scalable, and high-performance machine learning applications.
  • Take ownership of the full machine learning lifecycle for various applications.
  • Partner with the Machine Learning Platform team to utilize existing infrastructure and provide critical feedback.
  • Champion best practices for MLOps, code quality, testing, and deployment.
  • Identify opportunities to apply machine learning to solve complex business challenges.
  • Communicate results and methodology effectively within the team and to external stakeholders.
  • Setting Technical Standards: Champion best practices for MLOps, code quality, testing, and deployment, ensuring the reliability and maintainability of our ML application stack.

Other

  • Ability to collaborate effectively across teams and communicate with key stakeholders
  • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility
  • Experience: 5+ years of industry experience
  • Education: Bachelors in Computer Science or similar