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Lead AI/ML Engineer - Future Tech Roadmap

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

Are you ready to engineer the future? Join Apex Horizon Systems as a Lead AI/ML Engineer and play a pivotal role in shaping the technology roadmap for 2026 and beyond. We are looking for a visionary technical leader to build scalable, intelligent systems that redefine industry standards.

In this role, you will bridge the gap between theoretical AI research and practical application, leading a team of high-performing engineers to deploy state-of-the-art models. If you are passionate about the next generation of Generative AI, Large Language Models, and autonomous agents, this is your opportunity to make an impact at the highest level.

Why join us?

  • Work on cutting-edge projects that define the 2026 tech landscape.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Lead the architecture and development of proprietary AI models, specifically targeting deployment strategies for the 2026 era.
  • Design and implement MLOps pipelines to ensure model scalability, monitoring, and automated retraining.
  • Collaborate with product leadership to translate complex AI capabilities into user-centric features.
  • Mentor and coach a diverse team of software engineers and data scientists.
  • Stay ahead of industry trends, evaluating emerging technologies like LLMs and Edge AI for potential integration.
  • Ensure ethical AI practices and compliance with data privacy regulations.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
  • Minimum of 5+ years of experience in AI/ML engineering, with 2+ years in a leadership or senior technical role.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps NLP Cloud Computing AWS Kubernetes Leadership Data Engineering

Ready to Take This Challenge?

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