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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI & Machine Learning Architect

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the technology landscape of 2026 and beyond?

Nexus Horizon Systems is seeking a visionary AI & Machine Learning Architect to lead our next-generation R&D initiatives. We are building the infrastructure that will power the autonomous systems of the future. If you are passionate about pushing the boundaries of artificial intelligence and have a knack for architectural design, we want to hear from you.

As a key member of our elite technical team, you will not just write code; you will architect the solutions that will define the industry standard for the upcoming decade.

Responsibilities

  • Architect & Deploy: Design and implement scalable, robust AI/ML architectures capable of handling petabyte-scale data streams.
  • R&D Leadership: Spearhead research into cutting-edge technologies, ensuring our stack is future-proofed for the 2026 technological landscape.
  • Model Optimization: Continuously refine and optimize existing models to improve accuracy, latency, and resource efficiency.
  • Team Mentorship: Lead a team of data scientists and engineers, conducting code reviews and providing technical mentorship.
  • Cross-Functional Collaboration: Partner with product managers and engineering leads to translate business requirements into technical AI strategies.
  • Ethical AI: Establish and enforce guidelines for ethical AI development, ensuring fairness and transparency in all models.

Qualifications

  • Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or architect-level role.
  • Core Tech: Deep proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Cloud Expertise: Strong experience designing systems on AWS, GCP, or Azure.
  • Problem Solving: Proven track record of solving complex, large-scale machine learning problems.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning AI TensorFlow PyTorch AWS GCP Deep Learning NLP Data Architecture

Ready to Take This Challenge?

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