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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we redefine industries with AI-driven solutions for 2026 and beyond. We're seeking a visionary AI/ML Engineer to architect next-generation systems that transform data into actionable intelligence. Our Austin hub fosters groundbreaking innovation in quantum computing integration, autonomous systems, and predictive analytics. Enjoy competitive compensation, flexible work arrangements, and the opportunity to shape the future of technology in an inclusive, fast-paced environment.

Responsibilities

  • Design and implement scalable machine learning pipelines for 2026-era autonomous systems
  • Lead research in quantum-ML fusion algorithms to solve complex optimization challenges
  • Develop real-time predictive models for climate and energy sectors using edge computing
  • Collaborate with cross-functional teams to deploy AI solutions in IoT ecosystems
  • Create ethical AI frameworks ensuring compliance with emerging 2026 regulatory standards
  • Mentor junior engineers on cutting-edge ML techniques and quantum computing principles

Qualifications

  • PhD or Master's in Computer Science, AI, or related field with 5+ years experience
  • Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
  • Proven track record deploying production ML systems at scale (terabyte+ data)
  • Strong background in reinforcement learning and generative adversarial networks
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML) preferred
  • Experience with federated learning and blockchain-secured data models
  • Proficiency in MLOps tools (Kubeflow, MLflow) for 2026-era deployment challenges

Required Skills

AI/ML Quantum Computing PyTorch TensorFlow Reinforcement Learning MLOps Predictive Analytics Quantum Algorithms

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