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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Innovations)

Nexus Innovations
Austin
Estimated Salary
USD 140.000 – USD 180.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future with Nexus Innovations! We're seeking visionary AI/ML Engineers to develop cutting-edge solutions for our 2026 technology roadmap. Join our Austin-based team to pioneer transformative AI systems that redefine industry standards. Enjoy competitive compensation, flexible work arrangements, and unparalleled growth opportunities in an environment that values innovation.

Why Nexus Innovations? We're at the forefront of next-gen AI development, with projects spanning quantum computing, autonomous systems, and ethical AI frameworks. Our collaborative culture attracts top talent worldwide, offering mentorship from industry pioneers and access to state-of-the-art R&D facilities.

Responsibilities

  • Design and implement scalable machine learning pipelines for 2026-era applications
  • Lead research on emerging AI paradigms including generative adversarial networks and federated learning
  • Collaborate with cross-functional teams to integrate AI solutions into autonomous systems
  • Develop ethical AI frameworks ensuring compliance with evolving regulatory standards
  • Optimize deep learning models for edge computing and quantum hybrid systems
  • Mentor junior engineers in advanced ML techniques and future-proof architecture design

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in production-level ML systems with TensorFlow/PyTorch
  • Expertise in quantum computing fundamentals and hybrid AI-quantum workflows
  • Proven track record of deploying ethical AI frameworks in regulated industries
  • Strong background in distributed computing and edge AI optimization
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Experience with MLOps tools (MLflow, Kubeflow) for lifecycle management

Required Skills

Artificial Intelligence Machine Learning Quantum Computing TensorFlow PyTorch Ethics in AI Edge Computing MLOps

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