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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Architect to spearhead the development of our next-generation predictive intelligence systems, setting the standard for the 2026 tech landscape.

In this pivotal role, you will design scalable machine learning pipelines, mentor a team of data scientists, and integrate cutting-edge AI models into our core infrastructure. You will be responsible for ensuring our AI solutions are not only robust and efficient but also ethically sound and future-proof.

If you are passionate about the intersection of deep learning and scalable architecture, we want to hear from you.

Responsibilities

  • Design and architect end-to-end machine learning pipelines and data workflows that scale to millions of requests.
  • Lead research and implementation of state-of-the-art generative AI models and natural language processing techniques.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical AI solutions.
  • Oversee model deployment, monitoring, and optimization using MLOps best practices.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Ensure data privacy, security, and compliance with industry regulations.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark) and cloud platforms (AWS, GCP, Azure).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of delivering complex machine learning products to market.

Required Skills

Python PyTorch TensorFlow NLP Computer Vision Machine Learning AWS GCP Kubernetes MLOps Deep Learning

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