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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to shape the future of intelligence?

Nexus Horizon Corp is looking for a visionary Senior AI/ML Architect to lead our next-generation generative AI initiatives. In this role, you won't just build models; you will architect the neural frameworks that define our digital ecosystem for 2026 and beyond. If you are passionate about Large Language Models (LLMs), Transformer architectures, and scalable machine learning systems, we want to hear from you.

We offer a competitive compensation package, comprehensive health benefits, and the opportunity to work on projects that redefine human-computer interaction.

Responsibilities

  • Design and implement scalable, high-performance AI architectures for LLMs and generative models.
  • Lead the end-to-end machine learning lifecycle, from data ingestion to model deployment and monitoring.
  • Optimize existing models for inference speed and reduced latency in production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
  • Research and evaluate emerging AI technologies and methodologies to stay ahead of industry trends.
  • Ensure ethical AI practices and data privacy compliance across all projects.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in machine learning, deep learning, or artificial intelligence engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with LLMs (GPT, BERT, LLaMA) and RAG (Retrieval-Augmented Generation) architectures.
  • Deep understanding of distributed systems, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of deploying AI models into production environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Large Language Models AWS Docker Kubernetes Natural Language Processing

Ready to Take This Challenge?

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