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Senior AI/ML Engineer (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Systems, a pioneering force in the next evolution of artificial intelligence. We are looking for a visionary Senior AI/ML Engineer to lead the development of our proprietary Agentic AI framework, designed to redefine human-machine interaction by 2026.

In this role, you will bridge the gap between theoretical research and production-grade deployment. You will work on cutting-edge Large Language Models (LLMs), optimize inference speeds for edge devices, and ensure our AI systems are robust, transparent, and ethically aligned.

As we race towards the future, we need a problem solver who isn't afraid to challenge the status quo and build the tools of tomorrow.

Responsibilities

  • Design, train, and fine-tune state-of-the-art transformer models for high-volume inference.
  • Optimize neural network architectures for latency and energy efficiency on diverse hardware.
  • Collaborate with product teams to translate complex AI capabilities into user-centric features.
  • Establish and enforce best practices for data privacy, model governance, and AI ethics.
  • Conduct research on emerging trends in Generative AI and Reinforcement Learning.
  • Lead code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 5 years of professional experience in Machine Learning or Deep Learning engineering.
  • Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Strong experience with MLOps pipelines, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-ready models at scale.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps AWS Machine Learning Deep Learning NLP LLM Docker Kubernetes

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