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Senior AI/ML Engineer - 2026 Strategic Initiative

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our core team and lead our 2026 Strategic Initiative. As the technological landscape evolves toward a fully autonomous future, your work will define the standards for the next generation of intelligent systems. This is a rare opportunity to shape the architecture of tomorrow, today.

Why Join Us?
We are a forward-thinking organization preparing for the massive technological shifts expected by 2026. You will work with state-of-the-art frameworks and collaborate with top-tier researchers to deploy scalable AI solutions designed to outperform current market standards.

Responsibilities

  • Architect and deploy scalable Machine Learning models designed for the 2026 operational horizon.
  • Lead the end-to-end development lifecycle of proprietary AI algorithms.
  • Optimize neural networks for high-performance inference in edge environments.
  • Mentor junior engineers and establish best practices for ethical AI and data privacy.
  • Collaborate with cross-functional product teams to integrate AI capabilities into consumer-facing platforms.
  • Conduct research to stay ahead of emerging trends in Generative AI and Large Language Models.

Qualifications

  • Master’s degree or PhD in Computer Science, AI, or a related technical field.
  • Minimum of 5 years of professional experience in Python, TensorFlow, or PyTorch.
  • Proven track record of deploying production-grade machine learning systems.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong problem-solving skills with a focus on scalability and future-proofing solutions.

Required Skills

Python TensorFlow PyTorch NLP Machine Learning Cloud Computing AI Ethics Docker Kubernetes

Ready to Take This Challenge?

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