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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the hunt for a visionary Senior AI Engineer to lead the development of next-generation artificial intelligence systems. As we prepare to scale for the future, we need a technical expert who can architect scalable models and drive innovation that defines the industry landscape for 2026 and beyond. You will work in a collaborative environment focused on ethical AI, real-time processing, and deploying robust machine learning solutions.


Why Join Nexus Innovations?

  • Work with cutting-edge technologies in a high-growth environment.
  • Shape the roadmap for future AI capabilities.
  • Competitive compensation and equity packages.

Key Responsibilities:

Responsibilities

  • Design, train, and deploy scalable machine learning and deep learning models to solve complex business problems.
  • Lead the end-to-end data pipeline architecture, from ingestion to model serving, ensuring high availability and low latency.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical AI solutions.
  • Stay ahead of the curve on emerging AI trends, ensuring our technology stack remains relevant for future technological shifts.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Optimize existing models for speed and accuracy, performing rigorous A/B testing and performance tuning.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, Mathematics, or a related quantitative field.
  • Minimum of 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Deep understanding of Natural Language Processing (NLP) and/or Computer Vision architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of shipping production-ready AI products.
  • Excellent problem-solving skills and ability to thrive in fast-paced, agile environments.

Required Skills

Python TensorFlow PyTorch NLP Machine Learning Cloud Computing AWS Docker Kubernetes Scikit-learn Deep Learning

Ready to Take This Challenge?

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