Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

NexusHorizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

The Opportunity: NexusHorizon AI is at the forefront of revolutionizing industries through next-generation artificial intelligence. We are seeking a visionary Senior AI Engineer to lead the development of scalable machine learning models that drive our core product suite. If you are passionate about pushing the boundaries of deep learning and possess a knack for solving complex algorithmic challenges, we want to hear from you.


Why Join Us?
β€’ Work with cutting-edge technologies in Natural Language Processing (NLP) and Computer Vision.
β€’ Competitive compensation package and equity opportunities.
β€’ Collaborative and inclusive culture that values innovation.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms.
  • Collaborate with cross-functional teams including data scientists, product managers, and engineers to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and scalability to handle production traffic.
  • Conduct rigorous research and experiments to explore new AI methodologies and technologies.
  • Mentor junior engineers and provide technical guidance on best practices in AI development.
  • Ensure code quality, documentation, and adherence to software engineering standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of NLP architectures and transformer models.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
  • Proven track record of deploying AI solutions in production environments.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All