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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Architect

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Nexus Innovations is seeking a visionary Senior AI & Machine Learning Architect to lead our next-generation research initiatives. As we look toward the technological landscape of 2026, we need a leader who can bridge the gap between theoretical AI research and scalable, production-ready solutions.

In this pivotal role, you will define the technical vision for our AI infrastructure, mentor a team of brilliant engineers, and deploy algorithms that will redefine industry standards. If you thrive in a fast-paced, innovation-driven environment and want to build the future of technology, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI and machine learning pipelines and infrastructure using cloud-native technologies.
  • Research & Development: Stay at the cutting edge of AI trends, researching and integrating breakthrough technologies to enhance our product capabilities.
  • Model Optimization: Oversee the lifecycle of machine learning models, from data ingestion and feature engineering to deployment, monitoring, and continuous improvement.
  • Team Mentorship: Guide and mentor a diverse team of data scientists and ML engineers, fostering a culture of technical excellence and innovation.
  • Strategic Collaboration: Partner with product management and engineering teams to translate complex business requirements into robust technical solutions.
  • Compliance & Ethics: Ensure all AI systems adhere to ethical guidelines, data privacy regulations, and industry best practices.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field (PhD preferred).
  • Experience: 8+ years of experience in software engineering or machine learning, with at least 3 years in a senior or architect-level role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn. Strong understanding of MLOps, Kubernetes, and cloud platforms (AWS/GCP/Azure).
  • Database Knowledge: Expertise in SQL and NoSQL databases, including experience with data warehousing solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex, ambiguous problems with innovative technical approaches.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Computing AWS Kubernetes SQL Data Engineering AI Architecture

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