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Senior AI/ML Architect - 2026 Vision

Apex Innovation Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to define the landscape of technology in 2026? Apex Innovation Systems is seeking a visionary Senior AI/ML Architect to lead our next generation of generative models and autonomous systems. We are building the future of intelligence, and we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable production environments.

In this role, you will not just build models; you will architect the infrastructure that powers the next era of human-machine interaction. You will work alongside a world-class team of researchers and engineers to push the boundaries of Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and infrastructure using cloud-native technologies.
  • Lead the research and implementation of cutting-edge generative AI models tailored for enterprise applications.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model performance, latency, and throughput to ensure real-time user experiences.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical solutions.
  • Ensure ethical AI practices and data governance are integrated into every stage of the development lifecycle.
  • Stay ahead of industry trends and contribute to internal knowledge sharing and technical blogging.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Minimum of 5+ years of professional experience in Machine Learning or AI engineering.
  • Deep proficiency in Python and modern deep learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of distributed systems, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and production-grade model serving platforms.
  • Proven track record of deploying successful AI products in a fast-paced startup or high-growth environment.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Python PyTorch TensorFlow NLP Computer Vision MLOps Cloud Computing San Francisco Technical Recruiting

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