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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are building the infrastructure for the future. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to spearhead our cutting-edge research initiatives leading into the 2026 era. In this role, you will design and deploy the next generation of generative models and scalable machine learning architectures that will redefine industry standards. You will work in a high-performance environment focused on innovation, ethical AI, and solving complex problems at scale.

Responsibilities

  • Design, train, and deploy scalable machine learning models using Python and modern deep learning frameworks.
  • Lead research initiatives in Generative AI, NLP, and Computer Vision for the 2026 roadmap.
  • Optimize model inference for edge devices and cloud environments to ensure low latency and high throughput.
  • Establish and enforce best practices for MLOps, data governance, and model monitoring.
  • Collaborate with product managers and engineers to integrate AI solutions into core products.
  • Conduct rigorous A/B testing and performance analysis to drive continuous improvement.
  • Mentor junior engineers and contribute to the technical vision of the organization.
  • Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in building production-grade machine learning systems.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of MLOps tools (Kubernetes, MLflow, Kubeflow) and cloud platforms (AWS, GCP).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Demonstrated ability to translate complex research papers into practical, deployable code.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.
  • Required Skills

    Python PyTorch TensorFlow MLOps Machine Learning Deep Learning AWS GCP Kubernetes NLP Generative AI Data Engineering Scikit-learn

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