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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect

Nexus Future Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Opportunity: Nexus Future Systems is pioneering the next generation of intelligent computing for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Architect to lead our research division. You will be responsible for designing scalable machine learning models that power our predictive analytics platforms and autonomous systems.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) integration.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in Austin, TX.

We are looking for a technical leader who is not just proficient in algorithms, but passionate about the future of AI ethics and scalability.

Responsibilities

  • Architect and deploy state-of-the-art deep learning models for real-time data processing.
  • Collaborate with cross-functional teams to define AI product roadmaps for 2026 release cycles.
  • Mentor junior data scientists and engineers to foster a culture of innovation.
  • Ensure model scalability, security, and compliance with global data regulations.
  • Research and implement novel techniques in Natural Language Processing (NLP) and Computer Vision.
  • Optimize existing ML pipelines to reduce latency and improve inference speed.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of LLMs (GPT, BERT, etc.) and fine-tuning methodologies.
  • Proven track record of delivering production-grade AI solutions.

Required Skills

Python Machine Learning PyTorch TensorFlow NLP Deep Learning AWS GCP Kubernetes AI Ethics Big Data

Ready to Take This Challenge?

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