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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are looking for a visionary Senior AI/ML Engineer to lead the development of next-generation generative AI solutions at Nebula Innovations. As we scale our operations to meet the demands of the near future, we need a technical expert who can bridge the gap between theoretical research and production-ready applications.


In this role, you will architect scalable machine learning pipelines, optimize large language models (LLMs), and collaborate with cross-functional teams to deliver transformative products that define the industry standard for 2025 and beyond.

Responsibilities

  • Model Development: Design, train, and fine-tune complex neural networks and deep learning architectures.
  • System Optimization: Improve model inference speed and reduce latency for real-time applications.
  • Deployment: Implement MLOps strategies to ensure reliable and scalable model deployment on cloud infrastructure.
  • Research: Stay at the forefront of AI research, evaluating new methodologies and integrating them into our tech stack.
  • Collaboration: Work closely with product managers and engineers to define AI requirements and technical roadmaps.
  • Ethical AI: Ensure AI systems are fair, transparent, and compliant with emerging regulatory standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or AI engineering.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Architecture: Strong understanding of distributed systems and microservices.
  • Communication: Excellent verbal and written communication skills for technical presentations.
  • Problem Solving: Proven ability to tackle complex technical challenges with innovative solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP NLP LLMs

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