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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Innovations

QuantumLeap Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Solutions at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI/ML Engineers to architect intelligent systems that redefine human-machine interaction. Our Austin-based R&D hub combines cutting-edge research with agile development in a collaborative, innovation-driven environment. You'll work on projects ranging from autonomous neural networks to predictive analytics platforms that will shape the next decade of digital transformation.

Responsibilities

  • Design and implement scalable machine learning pipelines for next-gen AI applications
  • Develop advanced NLP and computer vision systems for real-time data processing
  • Architect ethical AI frameworks ensuring bias mitigation and compliance with evolving regulations
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Research and prototype novel algorithms for quantum-enhanced machine learning
  • Lead technical workshops on emerging AI paradigms and industry best practices
  • Optimize model performance using distributed computing and edge deployment strategies

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expert proficiency in Python, TensorFlow, PyTorch, and cloud ML platforms (AWS/GCP/Azure)
  • Published research in top-tier AI/ML conferences or proven commercial AI product deployment
  • Deep understanding of neural network architectures and transfer learning techniques
  • Experience with MLOps pipelines, CI/CD for ML, and containerization (Docker/Kubernetes)
  • Strong background in ethical AI development and responsible innovation practices
  • Track record of leading technical teams and mentoring junior engineers

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision MLOps Cloud Computing Distributed Systems

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