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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer (2026 Vision)

Nexus Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Technologies at the forefront of 2026's AI revolution! We're seeking a visionary AI/ML Engineer to architect and deploy next-generation intelligent systems that will redefine industries. This is your opportunity to work with cutting-edge technologies in a collaborative environment where innovation thrives. Our San Francisco headquarters offers state-of-the-art facilities and a culture that champions breakthrough thinking.

As a key member of our AI Excellence team, you'll develop scalable machine learning solutions, collaborate with cross-functional experts, and contribute to patent-pending technologies. We provide comprehensive benefits including equity packages, wellness stipends, and unlimited learning resources.

Responsibilities

  • Design and implement advanced ML models for predictive analytics and autonomous systems
  • Lead end-to-end AI solution development from prototype to production deployment
  • Optimize algorithms for real-time performance in distributed computing environments
  • Collaborate with product teams to integrate AI capabilities into enterprise platforms
  • Conduct rigorous testing and validation of AI systems using industry benchmarks
  • Document technical specifications and present findings to stakeholders
  • Mentor junior engineers on best practices in AI development lifecycle

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in production-level ML/AI systems
  • Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks
  • Expertise in MLOps tools (Kubernetes, MLflow, Kubeflow)
  • Strong background in data engineering and cloud platforms (AWS/GCP)
  • Published research in top-tier AI conferences or industry patents
  • Experience with ethical AI frameworks and bias mitigation techniques

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch MLOps Python AWS AI Ethics Distributed Computing

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