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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to shape the future of Artificial Intelligence?

Nexus Innovations is seeking a visionary Senior AI Engineer to join our elite technical team. In this role, you will architect scalable machine learning models and deploy intelligent solutions that drive business growth. We are looking for a problem-solver who is passionate about pushing the boundaries of what is possible in NLP and Deep Learning.

Why Join Us?
• Competitive salary and equity package.
• Work with state-of-the-art technology.
• Flexible remote and hybrid work options.
• Professional development and learning budget.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms to solve complex business problems.
  • Collaborate with data scientists and software engineers to integrate AI solutions into production environments.
  • Optimize model performance, latency, and scalability for high-traffic applications.
  • Conduct rigorous research and stay abreast of the latest developments in AI, ML, and Deep Learning.
  • Mentor junior engineers and conduct code reviews to ensure best practices and architectural integrity.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Machine Learning concepts, including NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Deep Learning AWS Docker Kubernetes Agile

Ready to Take This Challenge?

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

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