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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary Role

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're pioneering next-generation AI/ML solutions that will redefine industries worldwide. As an AI/ML Engineer, you'll architect intelligent systems that solve complex problems and create unprecedented value. Our collaborative environment combines cutting-edge research with agile development, empowering you to build scalable, ethical AI products that shape tomorrow's landscape. We offer competitive compensation, comprehensive benefits, and the opportunity to work on projects that will impact billions of lives.

Responsibilities

  • Design and implement cutting-edge machine learning models for real-world applications
  • Develop scalable AI infrastructure using cloud-native technologies (AWS/Azure/GCP)
  • Collaborate with cross-functional teams to integrate ML solutions into production systems
  • Conduct rigorous testing and optimization of AI models for performance and accuracy
  • Stay ahead of emerging AI trends and contribute to our 2026 technology roadmap
  • Mentor junior engineers and champion ethical AI development practices

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in Python, TensorFlow, PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade ML systems at scale
  • Expertise in MLOps, CI/CD pipelines, and cloud deployment strategies
  • Strong understanding of neural architecture search and generative models
  • Experience with quantum computing concepts or federated learning (2026 focus)
  • Published research in top-tier AI conferences or journals

Required Skills

Machine Learning Python TensorFlow PyTorch AWS MLOps Neural Networks Generative AI Distributed Computing Quantum Computing Cloud Architecture

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