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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

QuantumLeap Dynamics
Austin
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence? QuantumLeap Dynamics is seeking a visionary Senior AI/ML Engineer to join our elite team in Austin, Texas. We are building the next generation of cognitive computing platforms, and we need a technical leader who can turn complex algorithms into scalable, real-world solutions.

In this role, you won't just be writing code; you'll be architecting the brain of our new products. You will work with cutting-edge frameworks like PyTorch and TensorFlow, pushing the boundaries of Natural Language Processing (NLP) and Generative AI. If you are passionate about solving unsolved problems and want to work in an environment that rewards innovation, we want to hear from you.

Responsibilities

  • Architect and Deploy: Design, train, and deploy state-of-the-art machine learning models and deep learning architectures at scale.
  • Optimization: Fine-tune existing models for improved accuracy and reduce inference latency for real-time applications.
  • Collaboration: Partner with product managers and data scientists to translate business requirements into technical specifications.
  • MLOps: Implement robust CI/CD pipelines for machine learning, ensuring model reproducibility and monitoring.
  • Research: Stay ahead of industry trends by conducting research into emerging AI methodologies and technologies.
  • Code Quality: Write clean, maintainable, and well-documented code following industry best practices and agile methodologies.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production models.
  • Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Cloud: Strong experience deploying models on cloud platforms (AWS, GCP, or Azure).
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to troubleshoot complex issues and drive solutions from conception to completion.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS SQL NLP Generative AI

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