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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technology landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI & Machine Learning Engineer to lead our next-generation artificial intelligence initiatives. We are building the infrastructure for tomorrow, and we need a technical expert who thrives on solving complex problems at the intersection of deep learning and scalable systems.

In this role, you will not just implement existing models; you will architect the future of intelligent automation, working on Agentic AI frameworks and Large Language Model (LLM) optimization. If you are passionate about pushing the boundaries of what is possible in AI, this is your opportunity to make a lasting impact on the industry.

Responsibilities

  • Design and implement scalable machine learning pipelines and AI architectures capable of handling high-volume data streams.
  • Research and deploy cutting-edge Generative AI and NLP models to enhance product capabilities.
  • Optimize model inference speed and accuracy to ensure real-time performance in production environments.
  • Collaborate with cross-functional teams including data scientists, product managers, and engineers to define AI roadmap strategies.
  • Ensure ethical AI practices and compliance with industry standards and data privacy regulations.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related technical field; PhD preferred.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
  • Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping production-ready AI products.

Required Skills

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

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