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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexaTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Senior Artificial Intelligence Engineer to lead our next generation of intelligent systems. As we pioneer the technological advancements of 2026, you will be instrumental in designing, training, and deploying machine learning models that drive business transformation.

In this role, you will bridge the gap between cutting-edge research and practical application. You will work with a world-class team of data scientists, researchers, and engineers to build scalable AI infrastructure that powers our core products. If you are passionate about pushing the boundaries of what is possible with AI and want to shape the future of technology, we want to meet you.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first culture.
  • Opportunity to work on state-of-the-art LLMs and Generative AI.
  • Continuous learning and development budget.

Responsibilities

  • Design, develop, and optimize large-scale machine learning models and deep neural networks.
  • Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
  • Implement robust MLOps pipelines to ensure model scalability, reliability, and performance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct thorough data analysis to drive feature engineering and model improvement.
  • Stay current with the latest advancements in AI research and integrate relevant breakthroughs into our stack.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering, data science, or AI research.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying AI models into production environments.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP Computer Vision AWS GCP Docker Kubernetes MLOps SQL

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