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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Machine Learning Specialist

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to shape the future of intelligence? Nexus Future Tech is seeking a visionary Senior AI Engineer to lead our next-generation machine learning initiatives. Join a world-class team dedicated to building scalable AI systems that redefine industry standards.


We are looking for a technical leader with a passion for deep learning and a track record of deploying high-impact models. If you want to work on complex problems in Natural Language Processing and Computer Vision, this is your opportunity.

Responsibilities

  • Model Development: Design, develop, and deploy advanced machine learning and deep learning models for production use.
  • Research & Innovation: Conduct cutting-edge research to improve model accuracy, efficiency, and robustness using state-of-the-art algorithms.
  • Infrastructure: Optimize data pipelines and infrastructure using cloud technologies (AWS/GCP) to support large-scale model training.
  • Collaboration: Partner with cross-functional teams including data scientists, software engineers, and product managers to align AI solutions with business goals.
  • Mentorship: Mentor junior engineers and foster a culture of technical excellence and continuous learning within the engineering team.
  • Deployment: Manage the full machine learning lifecycle from experimentation to MLOps and monitoring.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a strong focus on Deep Learning.
  • Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
  • Cloud Experience: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
  • Tools: Familiarity with MLOps tools (MLflow, Kubeflow) and data visualization libraries (Matplotlib, Seaborn).

Required Skills

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

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