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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior Artificial Intelligence Engineer to join our elite team in San Francisco. At Nexus Future Tech, we are building the next generation of autonomous systems that redefine human-machine interaction. If you are passionate about deep learning, NLP, and scalable architecture, we want to hear from you.

As a key member of our R&D division, you will lead the charge in developing state-of-the-art models, mentoring junior talent, and driving the strategic direction of our AI initiatives.

Responsibilities

  • Design & Deploy: Architect and implement scalable machine learning models and deep learning pipelines for production environments.
  • Research & Innovation: Stay at the forefront of AI research, evaluating new methodologies to improve model accuracy and efficiency.
  • Team Leadership: Mentor a team of data scientists and engineers, conducting code reviews and technical workshops.
  • Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical AI solutions.
  • Optimization: Continuously monitor model performance, reducing latency and optimizing resource utilization.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent experience).
  • Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
  • Programming: Proficiency in Python, C++, and SQL; deep understanding of PyTorch or TensorFlow.
  • Technical Skills: Expertise in Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Tools: Experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and MLOps tools.

Required Skills

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

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