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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Generative AI Specialist

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

Are you ready to shape the future of intelligence? Nexus Future Tech is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation Generative AI solutions. In this role, you will be at the forefront of building scalable machine learning models that redefine user experiences across our product ecosystem. Join a team of world-class engineers and researchers dedicated to pushing the boundaries of what's possible in Artificial Intelligence.


Why Join Us?

  • Work with cutting-edge LLMs and Neural Architecture Search (NAS).
  • Competitive compensation and equity packages.
  • Remote-first culture with flexibility.
  • Access to state-of-the-art computing infrastructure.

Responsibilities

  • Design, train, and deploy state-of-the-art Machine Learning models, specifically focusing on Large Language Models (LLMs) and Computer Vision.
  • Optimize model inference latency and scalability for high-traffic production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI product requirements.
  • Conduct cutting-edge research to implement novel algorithms and improve model accuracy and efficiency.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Ensure data privacy, security, and ethical AI practices are integrated into the development lifecycle.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, Transformers, and Generative AI architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of taking models from research to production.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Cloud Computing Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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