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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Lead: AI & Machine Learning Architect - NYC

Apex Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Future Tech Lead to drive our innovation roadmap leading up to 2026. In this pivotal role, you will architect the next generation of intelligent systems, ensuring our technology stack remains at the bleeding edge of the industry. You will work in a high-performance environment where your expertise in AI and machine learning will directly shape the future of our enterprise solutions.

Why Join Us?
We are a forward-thinking organization dedicated to solving complex problems through advanced technology. We offer a competitive benefits package, equity opportunities, and a culture that fosters creativity and technical excellence.

Responsibilities

  • Design and implement scalable AI architectures that support business goals for the 2026 roadmap.
  • Lead a team of data scientists and engineers in research and development initiatives.
  • Optimize existing machine learning models for speed and accuracy.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
  • Stay abreast of the latest trends in AI, NLP, and deep learning.
  • Establish best practices for code quality, testing, and deployment.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 5 years of experience in AI/ML engineering and software development.
  • Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and managing complex projects.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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