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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Future Labs
Austin
Estimated Salary
USD 165.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join the Frontier of Technology in 2026. Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to architect the next generation of artificial intelligence solutions. We are not just building software; we are defining the future of human-machine interaction. In this role, you will spearhead the development of autonomous agents, advanced predictive analytics, and ethical AI frameworks designed to solve complex global challenges.

Work with a world-class team pushing the boundaries of what is possible in Generative AI and Deep Learning. You will have the autonomy to experiment, innovate, and lead high-impact projects that shape the industry landscape for years to come.

Responsibilities

  • Lead the design, development, and deployment of scalable machine learning models and neural networks.
  • Drive research initiatives in Generative AI, NLP, and Computer Vision to stay ahead of the 2026 technology curve.
  • Collaborate with cross-functional product teams to integrate AI capabilities into consumer and enterprise applications.
  • Optimize model performance for speed, accuracy, and resource efficiency in cloud environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Ensure AI systems are ethical, transparent, and compliant with data privacy regulations.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering or data science.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Deep Learning architectures (CNNs, RNNs, Transformers).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.
  • Strong background in big data technologies (Spark, Kafka) and database management.

Required Skills

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

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