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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

TechNova Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to shape the future of intelligent systems? TechNova Innovations is seeking a visionary Senior AI Engineer to spearhead Project 2026, our next-generation generative AI initiative. In this role, you will architect scalable neural networks and deploy cutting-edge models that redefine industry standards.

We are a forward-thinking team pushing the boundaries of what is possible in machine learning. If you thrive in a fast-paced environment and want to leave a lasting legacy in the tech landscape of 2026 and beyond, we want to meet you.

Why Join Us?

  • Work on next-gen AI infrastructure that will define the future.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design, develop, and deploy complex deep learning models for large-scale generative AI applications.
  • Optimize existing ML pipelines for high performance and low latency in production environments.
  • Collaborate closely with data scientists and software engineers to integrate AI models into core products.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Research and evaluate new technologies to improve our AI capabilities.
  • Ensure data privacy, security, and ethical AI practices across all projects.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in machine learning and deep learning engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying scalable ML models in production.
  • Excellent problem-solving skills and ability to work in a collaborative Agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow CUDA Docker Kubernetes AWS GCP Agile MLOps

Ready to Take This Challenge?

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

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