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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Intelligence at Nexus Future Labs

We are on a mission to build the next generation of autonomous systems. As a Senior AI/ML Architect, you will not just write code; you will architect the cognitive infrastructure that powers our next-generation products. Join a world-class team of researchers and engineers dedicated to pushing the boundaries of Machine Learning and Deep Learning.

Why Join Us?

  • Work with cutting-edge technologies in Generative AI and Neural Networks.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a focus on innovation.

If you are passionate about the future of AI and want to lead technical breakthroughs, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning infrastructure and pipelines for production environments.
  • Lead the architecture of complex deep learning models, including Large Language Models (LLMs) and Computer Vision systems.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Collaborate with product teams to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest research in AI to integrate state-of-the-art techniques into our stack.

Qualifications

  • 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience deploying MLOps pipelines and model serving frameworks.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Kubernetes Docker Natural Language Processing Computer Vision

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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