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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of technological evolution as we pioneer the next generation of AI systems for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect and deploy cutting-edge machine learning solutions that will redefine industry standards. In this pivotal role, you'll collaborate with cross-functional teams to transform complex data into actionable intelligence, driving innovation across autonomous systems, predictive analytics, and human-AI collaboration frameworks. Our culture champions intellectual curiosity, ethical AI development, and breakthrough thinking—perfect for those who thrive on solving tomorrow's challenges today.

Responsibilities

  • Lead end-to-end ML pipeline development for 2026-era autonomous systems and predictive analytics platforms
  • Architect scalable AI infrastructure using cloud-native technologies (AWS/GCP/Azure) and MLOps best practices
  • Research and prototype emerging AI paradigms including neuro-symbolic AI and generative adversarial networks
  • Collaborate with product teams to integrate AI solutions into customer-facing products with measurable impact
  • Mentor junior engineers and establish technical standards for ethical AI development and deployment
  • Present findings to executive stakeholders and contribute to technical roadmap planning for 2026+ initiatives

Qualifications

  • Master's degree in Computer Science, AI, or related field with 5+ years of ML engineering experience
  • Expert proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks (Spark, Dask)
  • Proven track record deploying production ML systems at scale with emphasis on model interpretability
  • Deep understanding of transformer architectures, reinforcement learning, and generative models
  • Strong background in cloud infrastructure (Kubernetes, Terraform) and CI/CD automation
  • Experience with ethical AI frameworks and responsible ML practices
  • Published research or patents in AI/ML fields preferred

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps Reinforcement Learning Generative AI Kubernetes Machine Learning

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