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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

Neural Horizons Inc.
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Neural Horizons Inc. at the forefront of 2026's technological revolution! We're seeking an AI/ML Engineer to architect and deploy next-generation intelligent systems that will redefine industries. As a key innovator in our AI division, you'll collaborate with world-class researchers to transform cutting-edge algorithms into scalable solutions. Enjoy competitive compensation, unlimited learning resources, and a culture that celebrates breakthrough thinking. Your work will directly impact the future of autonomous systems, predictive analytics, and human-AI collaboration.

Responsibilities

  • Design and implement production-grade ML pipelines for real-time data processing
  • Develop novel neural network architectures for complex pattern recognition
  • Optimize AI models for edge computing and distributed systems
  • Lead cross-functional projects integrating AI with IoT and cloud platforms
  • Conduct A/B testing and performance analysis of AI systems
  • Document technical specifications and create API documentation
  • Mentor junior engineers on AI best practices and emerging frameworks

Qualifications

  • MS/PhD in Computer Science, AI, or related field (5+ years experience equivalent)
  • Expert proficiency in Python, TensorFlow/PyTorch, and cloud ML services
  • Published research in top-tier AI conferences or proven industry impact
  • Experience with MLOps tools (Kubeflow, MLflow) and CI/CD for ML
  • Strong background in computer vision or NLP techniques
  • Demonstrated ability to translate business requirements into AI solutions
  • Fluency in distributed computing frameworks (Spark, Dask)
  • Knowledge of ethical AI frameworks and bias mitigation strategies

Required Skills

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

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