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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Visionary

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution. We're seeking an AI/ML Engineer to architect and implement cutting-edge solutions that will define the digital landscape of 2026. This role offers unparalleled opportunities to work with next-gen quantum computing interfaces, autonomous systems, and ethical AI frameworks. You'll collaborate with world-class researchers in our Austin R&D hub, driving innovations that will shape human-computer interaction for the next decade. We offer competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and deploy scalable ML pipelines for predictive analytics and autonomous decision systems
  • Develop quantum-resistant encryption algorithms for next-gen security protocols
  • Lead implementation of ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with cross-functional teams to integrate AI solutions into IoT and edge computing infrastructures
  • Conduct research on federated learning techniques for distributed data ecosystems
  • Optimize neural architectures for real-time processing in low-latency environments
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years experience with Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proficiency in quantum computing concepts and quantum machine learning algorithms
  • Expertise in MLOps tools (Kubeflow, MLflow) and CI/CD for ML systems
  • Strong understanding of ethical AI principles and bias mitigation techniques
  • Experience with edge computing and IoT integration for ML deployments
  • Published research in top-tier AI/ML conferences or journals
  • Proven ability to translate complex technical concepts into actionable business solutions

Required Skills

Python TensorFlow PyTorch Quantum Computing MLOps Ethical AI Federated Learning Edge Computing CI/CD

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