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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (2025)

Nebula Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Nebula Future Systems is seeking a visionary Senior AI Engineer (2025) to architect the next generation of artificial intelligence solutions. We are building the infrastructure for tomorrow, and we need a leader who can bridge the gap between theoretical research and scalable production engineering. If you are passionate about pushing the boundaries of Machine Learning and eager to define the roadmap for the upcoming year, we want to hear from you.


Why join us?
We offer a competitive salary, comprehensive benefits, and the opportunity to work on high-impact projects that will shape the future of the industry.

Responsibilities

  • Design, train, and deploy advanced Machine Learning models, specifically focusing on Large Language Models (LLMs) and predictive analytics.
  • Lead the architecture of scalable data pipelines to handle big data workloads efficiently.
  • Collaborate with cross-functional teams—including product managers, data scientists, and engineers—to translate business requirements into technical AI solutions.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Optimize model inference speed and accuracy for real-time applications.
  • Stay at the forefront of AI research and integrate cutting-edge methodologies into our product suite.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
  • Minimum of 5+ years of professional experience in AI/ML engineering and software development.
  • Deep expertise in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong proficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, etc.).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of delivering end-to-end ML solutions in a production environment.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning NLP Docker Kubernetes SQL Data Engineering

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