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Lead AI Engineer | New York, NY

Nexus Innovations
New York
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Welcome to Nexus Innovations, where we are defining the future of intelligent automation. We are seeking a visionary Lead AI Engineer to join our elite engineering team in New York.

In this role, you will be at the forefront of technological innovation, designing the algorithms that will power our products through 2026 and beyond. You will work in a dynamic environment that values creativity, technical excellence, and ethical AI development.

Why Join Us?

  • Competitive salary and equity package.
  • Comprehensive health benefits and remote work flexibility.
  • Access to cutting-edge hardware and research tools.
  • Professional development and career growth opportunities.

We are looking for someone who doesn't just write code, but architects the future. If you are passionate about AI and ready to make an impact, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models for enterprise applications.
  • Lead the research and implementation of Generative AI and Large Language Model (LLM) solutions.
  • Collaborate with cross-functional teams to integrate AI capabilities into product roadmaps.
  • Optimize model performance and reduce latency in production environments.
  • Establish best practices for MLOps, CI/CD pipelines, and model monitoring.
  • Conduct technical workshops and mentor junior data scientists and engineers.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning or Deep Learning engineering.
  • Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping production-grade AI systems.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker Kubernetes MLOps

Ready to Take This Challenge?

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

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