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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the next technological revolution, building scalable AI architectures that power the future. Nexus Dynamics is seeking a visionary Senior AI Engineer to join our elite R&D division. You will be instrumental in developing cutting-edge machine learning models, optimizing neural networks, and deploying AI solutions that solve complex real-world problems.

If you are passionate about the intersection of data science and software engineering and want to shape the future of intelligent systems, we want to hear from you.

Why Join Nexus Dynamics?

  • Work on state-of-the-art projects in Generative AI and Computer Vision.
  • Competitive compensation and comprehensive benefits package.
  • Flexible remote-first policy with access to top-tier tech infrastructure.
  • Opportunity to mentor junior engineers and define engineering standards.

Responsibilities

  • Design, train, and deploy advanced machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and scalability on cloud platforms (AWS/Azure/GCP).
  • Implement robust MLOps pipelines for model training, validation, and monitoring.
  • Conduct research and stay updated on the latest advancements in AI and NLP.
  • Contribute to the technical architecture of our core product platforms.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning, deep learning, or data science.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with large language models (LLMs) and fine-tuning techniques.
  • Deep understanding of data structures, algorithms, and software design patterns.
  • Experience with cloud services (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

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

Ready to Take This Challenge?

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

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