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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Year 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Nexus Horizon Labs is pioneering the technological frontier, defining the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to lead our research initiatives in generative models, autonomous agents, and predictive analytics. If you are passionate about shaping the future of intelligent systems and thrive in a high-performance environment, we want to meet you.

In this pivotal role, you will be responsible for architecting scalable machine learning pipelines, optimizing deep learning models for real-time inference, and guiding a team of data scientists. You will work closely with cross-functional teams to translate complex business requirements into robust AI solutions that drive competitive advantage.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning and deep learning models.
  • Lead the end-to-end machine learning lifecycle from data ingestion to model monitoring and MLOps implementation.
  • Collaborate with product and engineering teams to integrate AI capabilities into core platforms.
  • Research and implement novel algorithms to push the boundaries of AI performance.
  • Ensure model scalability, efficiency, and ethical AI compliance.
  • Conduct rigorous code reviews and mentor junior engineers and data scientists.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying production models.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of MLOps tools (Docker, Kubernetes, MLflow, Airflow).
  • Experience with large-scale distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced, innovative startup environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Kubernetes Docker AWS Natural Language Processing Computer Vision

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