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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

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

Job Description

We are looking for a visionary Senior AI/ML Engineer to join Nexus Horizon AI. In an industry rapidly evolving towards 2026, we are building the next generation of autonomous agents and generative AI systems. You will play a pivotal role in architecting scalable machine learning infrastructure that powers our core products. This is a unique opportunity to define the technical roadmap for the future.

What You Will Do:

Lead the design and implementation of state-of-the-art deep learning models. Collaborate with product teams to translate complex business requirements into robust AI solutions. Ensure our systems are secure, efficient, and ready for the scaling demands of the coming years.

Responsibilities

  • Design, train, and deploy large-scale machine learning models and neural networks.
  • Optimize AI models for high performance, low latency, and cost efficiency in production environments.
  • Implement MLOps pipelines to automate model training, evaluation, and deployment.
  • Conduct cutting-edge research to integrate new advancements in NLP and Computer Vision.
  • Mentor junior data scientists and engineers, fostering a culture of innovation.
  • Collaborate with cross-functional teams to define product features and technical specifications.

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of NLP, Transformers, or LLMs.
  • Proven track record of delivering production-ready machine learning systems.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps NLP Machine Learning San Francisco California

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