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Senior AI & Machine Learning Lead

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Join Nexus Future Technologies, a pioneer in next-generation artificial intelligence. We are looking for a Senior AI & Machine Learning Lead to architect our vision for 2026 and beyond. In this pivotal role, you will define the technical strategy for our flagship products, ensuring they remain at the cutting edge of innovation. You will lead a team of elite engineers and data scientists, driving the development of scalable, predictive models that solve complex real-world problems.

Why Join Us?

We offer a competitive salary, comprehensive benefits, and the unique opportunity to shape the future of technology.

Responsibilities

  • Define and execute the long-term AI and machine learning roadmap with a specific focus on the 2026 technology horizon.
  • Lead the architecture and development of advanced predictive models and natural language processing systems.
  • Collaborate with cross-functional teams to integrate AI solutions into core business products.
  • Mentor and coach junior data scientists and engineers to foster a culture of innovation.
  • Stay ahead of industry trends, including generative AI, quantum computing, and edge intelligence.
  • Optimize data pipelines for high-performance processing and scalability.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related field.
  • 10+ years of experience in AI/ML engineering, with at least 5 years in a leadership role.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of delivering production-grade machine learning systems.
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP AWS GCP PyTorch TensorFlow Leadership Data Architecture

Ready to Take This Challenge?

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