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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Nexus Innovations is leading the charge into the future of technology. We are seeking a visionary Senior AI/ML Engineer to join our elite engineering team. As we prepare for the transformative technologies of 2026, you will play a pivotal role in designing and deploying cutting-edge artificial intelligence solutions that redefine user experiences.

In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our models are scalable, efficient, and ethically sound. If you are passionate about the intersection of data science and real-world impact, we want to hear from you.

Responsibilities

  • Architect and maintain robust end-to-end machine learning pipelines, from data ingestion to model deployment.
  • Research and implement state-of-the-art algorithms, including Generative AI and Large Language Models (LLMs).
  • Optimize model performance for latency, throughput, and accuracy in high-volume production environments.
  • Collaborate closely with product managers and data scientists to translate complex business requirements into technical solutions.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.
  • Ensure compliance with data privacy standards and AI ethics guidelines.

Qualifications

  • 5+ years of professional experience in AI/ML engineering or a related field.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of MLOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).
  • Strong experience with cloud platforms (AWS, GCP, or Azure) for scalable infrastructure.
  • Master’s degree in Computer Science, Statistics, or a related technical discipline.
  • Proven track record of deploying successful ML models into production.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Kubernetes Natural Language Processing SQL Data Structures Algorithms

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