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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Nexus Future Systems is pioneering the next generation of intelligent computing solutions. As we accelerate towards our 2026 strategic roadmap, we are seeking a visionary Senior AI/ML Architect to lead our research and deployment efforts. In this pivotal role, you will design robust machine learning systems that drive our core products and define the technological landscape for years to come.

Join a team of elite engineers and data scientists pushing the boundaries of what is possible. You will have the autonomy to experiment with cutting-edge technologies and the responsibility to scale them into production-grade environments.

Responsibilities

  • Design and architect scalable, high-performance machine learning pipelines for large-scale data processing.
  • Lead the research and development of Generative AI models and Large Language Models (LLMs) aligned with 2026 industry standards.
  • Collaborate with cross-functional teams of engineers, product managers, and data scientists to define technical requirements and deliver innovative solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Optimize model inference latency and reduce computational costs across cloud infrastructure.
  • Stay abreast of the latest advancements in AI, NLP, and computer vision to integrate novel features into our product suite.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • 5+ years of professional experience in software engineering and machine learning architecture.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Deep expertise in machine learning frameworks: PyTorch, TensorFlow, or JAX.
  • Experience deploying models on cloud platforms (AWS, GCP, or Azure) using Docker and Kubernetes.
  • Strong understanding of MLOps, data pipelines, and model versioning strategies.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes MLOps NLP Generative AI

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