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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Vision)

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join FutureTech Innovations as we pioneer the next wave of artificial intelligence and machine learning solutions. We are seeking a visionary AI/ML Engineer to architect transformative systems that will redefine industries by 2026. This role offers the opportunity to shape the future of AI while working with cutting-edge technologies in a dynamic, collaborative environment.

Responsibilities

  • Lead the design and development of advanced AI/ML models for autonomous systems and predictive analytics
  • Collaborate with cross-functional teams to define technical roadmaps for 2026 AI initiatives
  • Research and implement state-of-the-art deep learning frameworks and neural network architectures
  • Optimize ML pipelines for scalability, efficiency, and real-time deployment in cloud environments
  • Drive innovation through continuous experimentation with generative AI and reinforcement learning
  • Mentor junior engineers and establish best practices for AI development lifecycle
  • Translate complex business requirements into robust technical solutions

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of hands-on experience in production-level AI/ML systems
  • Expert proficiency in TensorFlow, PyTorch, and cloud ML platforms (AWS SageMaker/Azure ML)
  • Strong background in MLOps, CI/CD for ML, and distributed computing
  • Published research or patents in AI/ML (NLP, computer vision, or reinforcement learning)
  • Experience with large-scale data processing and feature engineering
  • Demonstrated ability to lead technical projects from conception to deployment
  • Excellent problem-solving skills and passion for ethical AI development

Required Skills

AI Machine Learning Deep Learning TensorFlow PyTorch MLOps Cloud Computing NLP Computer Vision Reinforcement Learning Leadership

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