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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future of Intelligence

Nexus Dynamics Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to shape the future of artificial intelligence? Nexus Dynamics Corp is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation generative models. In this role, you will bridge the gap between theoretical research and scalable production systems, defining the AI landscape for 2026 and beyond. Join a team of world-class engineers and researchers committed to pushing the boundaries of what is possible.

We offer a competitive salary, comprehensive benefits, and the opportunity to work on projects that will impact millions globally.

Responsibilities

  • Architect and implement scalable machine learning pipelines for large-scale data processing and model training.
  • Research and prototype novel deep learning architectures, with a focus on Large Language Models (LLMs) and multimodal AI.
  • Optimize model inference speed and reduce latency in production environments using techniques like quantization and distillation.
  • Collaborate closely with cross-functional teams (Product, Engineering, Design) to translate complex AI capabilities into user-centric features.
  • Establish best practices for MLOps, including model versioning, A/B testing, and continuous integration/deployment.
  • Mentor junior engineers and contribute to the technical roadmap for our AI infrastructure.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 5+ years of professional experience in machine learning engineering or data science.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience deploying models in cloud environments (AWS, GCP, or Azure) using containerization technologies (Docker, Kubernetes).
  • Deep understanding of NLP, computer vision, or reinforcement learning principles.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

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

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