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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Roadmap)

Quantum Leap Technologies
Seattle
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the future of technology? Quantum Leap Technologies is seeking a visionary Senior AI/ML Engineer to spearhead our 2026 innovation roadmap. We are building the next generation of intelligent, self-improving systems, and we need a leader who thrives on complexity and innovation.

In this role, you will not just write code; you will architect the infrastructure that powers the next decade of AI advancement. You will work with a world-class team to develop large language models, generative AI tools, and predictive analytics platforms that will revolutionize our industry.

Join us in shaping the future. We offer a competitive compensation package, equity opportunities, and a collaborative environment that encourages bold ideas.

Responsibilities

  • Design, deploy, and scale production-grade machine learning models and neural networks.
  • Lead the research and implementation of cutting-edge algorithms for NLP and Computer Vision.
  • Optimize model inference and training pipelines for maximum efficiency and speed.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Ensure the security, privacy, and ethical use of data across all AI systems.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, or a related technical field.
  • 7+ years of professional experience in AI/ML engineering or data science.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying end-to-end machine learning systems.
  • Deep understanding of MLOps and model lifecycle management.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP MLOps Kubernetes

Ready to Take This Challenge?

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