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Senior AI & Machine Learning Engineer (2026 Visionary)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the technology landscape of 2026? Nexus Innovations is seeking a visionary Senior AI & Machine Learning Engineer to lead the next generation of intelligent systems. In this pivotal role, you won't just use existing tools; you will architect the future of automated decision-making, generative AI, and predictive analytics.

As a key player in our elite R&D division, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. We are looking for someone who thrives in ambiguity and is obsessed with pushing the boundaries of what's possible.

Responsibilities

  • Design, train, and deploy state-of-the-art Machine Learning models focused on Large Language Models (LLMs) and Computer Vision.
  • Lead the end-to-end MLOps pipeline, ensuring models are scalable, reproducible, and production-ready.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate complex business requirements into technical AI solutions.
  • Conduct cutting-edge research to stay ahead of industry trends, specifically regarding AGI and autonomous agents expected to dominate the 2026 market.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Establish best practices for data governance, model monitoring, and ethical AI implementation.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or Data Science.
  • Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying AI models in high-volume production environments.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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