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Information Technology 🏢 Full Time ⭐️ Verified

AI & Automation Engineer (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we build the infrastructure for 2026. We're seeking visionary AI & Automation Engineers to architect intelligent systems that will redefine industries. Work with cutting-edge machine learning models, robotic process automation (RPA), and predictive analytics to create solutions that adapt to future challenges. Our collaborative culture thrives on innovation, offering competitive compensation, equity packages, and the opportunity to shape tomorrow's digital landscape today.

Responsibilities

  • Design and implement scalable AI/ML pipelines for autonomous decision-making systems
  • Develop robotic process automation frameworks to optimize enterprise workflows
  • Create predictive models using time-series analysis for future market behavior
  • Integrate quantum computing principles with classical AI systems
  • Lead cross-functional teams in deploying ethical AI solutions
  • Research emerging technologies (neuromorphic computing, swarm AI) for 2026 roadmap
  • Optimize computational efficiency for edge and distributed computing environments

Qualifications

  • 5+ years in AI/ML engineering with proven production deployments
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
  • Advanced degree in Computer Science, AI, or related field
  • Strong background in distributed systems and microservices architecture
  • Experience with MLOps pipelines and CI/CD for AI systems
  • Published research in AI ethics or autonomous systems preferred
  • Certification in quantum computing fundamentals (IBM Quantum, Google AI)
  • Portfolio demonstrating end-to-end AI automation projects

Required Skills

AI/ML TensorFlow PyTorch AWS GCP Python MLOps Quantum Computing RPA Predictive Analytics Distributed Systems Ethics in AI

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