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Senior AI Engineer (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are pioneering the next generation of artificial intelligence, defining the roadmap for 2026 and beyond. Nexus Future Tech is seeking a visionary Senior AI Engineer to lead our advanced machine learning initiatives. In this pivotal role, you will architect scalable AI systems, optimize large-scale inference models, and drive the technical strategy that will define our market presence in the coming years.

Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on groundbreaking projects that shape the future of technology. Our team is dedicated to pushing the boundaries of what is possible in AI.

Responsibilities

  • Architect and deploy production-grade Machine Learning pipelines designed to handle 2026-scale data volumes with high availability and low latency.
  • Lead the research and implementation of cutting-edge Generative AI models, including Large Language Models (LLMs) and multimodal systems.
  • Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
  • Optimize model inference speed and accuracy using techniques such as quantization, pruning, and efficient attention mechanisms.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Ensure ethical AI practices and compliance with data privacy regulations in all model deployments.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, deep learning, or AI research.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker, GCP Vertex AI).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
  • Proven track record of deploying models that have a measurable impact on business KPIs.

Required Skills

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

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