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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Machine Learning | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to lead the next generation of machine learning initiatives at Nexus Horizon. If you are passionate about building scalable AI systems that solve complex real-world problems and want to work in a culture that champions innovation, we want to meet you.

In this role, you will not just implement models; you will architect the future of our data infrastructure. You will collaborate with a diverse team of data scientists, engineers, and product managers to deploy cutting-edge algorithms that drive business growth. Join us in shaping the intelligence of tomorrow.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and deep learning architectures.
  • Build and maintain robust MLOps pipelines to ensure model reliability and scalability.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Conduct rigorous A/B testing and model evaluation to optimize performance and accuracy.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Stay abreast of the latest advancements in AI research and apply them to our products.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML engineering or data science.
  • Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying models into production environments.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch MLOps AWS GCP Kubernetes Docker Deep Learning NLP SQL

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