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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Roadmap)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to lead our team in defining the technological landscape for the year 2026. As we stand on the precipice of a new era in artificial intelligence, you will be responsible for architecting scalable solutions that bridge the gap between current capabilities and future demands.

In this role, you won't just write code; you will shape the future of how humans interact with intelligent systems. You will work alongside world-class researchers and engineers to deploy cutting-edge Large Language Models (LLMs) and generative AI frameworks.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed for 2026 performance standards.
  • Lead the research and implementation of Generative AI models to enhance product capabilities.
  • Collaborate with cross-functional teams to integrate AI solutions into legacy systems.
  • Define technical roadmaps and mentor junior engineers in best practices for AI ethics and safety.
  • Mentor a team of data scientists and ML engineers in optimizing model inference and training efficiency.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, LLMs, and prompt engineering techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead technical strategy and mentor teams.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP LLMs AWS GCP Docker Kubernetes AI Engineering

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