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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (Project 2026)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on the cusp of a technological revolution, and Nexus Future Labs is leading the charge with Project 2026. We are seeking a visionary Senior AI Engineer to architect the next generation of autonomous systems. In this pivotal role, you will not just write code; you will define the logic that powers our future infrastructure. You will work with a world-class team of researchers and developers to deploy scalable machine learning models that solve complex, real-world problems. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting legacy, this is your opportunity.

Responsibilities

  • Design, develop, and deploy cutting-edge deep learning models for Project 2026.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Optimize existing algorithms for improved speed, accuracy, and scalability.
  • Conduct rigorous testing and validation of AI systems to ensure robustness and reliability.
  • Mentor junior engineers and contribute to code reviews and technical architecture discussions.
  • Stay abreast of the latest research in AI and integrate relevant advancements into our pipeline.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Minimum of 5+ years of professional experience in AI/ML engineering.
  • Proficiency in programming languages such as Python, PyTorch, or TensorFlow.
  • Strong understanding of neural networks, natural language processing, or computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Docker Kubernetes NLP Computer Vision Natural Language Processing Agile Scrum

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