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Lead AI Engineer (Project 2026)

OmniTech Solutions
Austin
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are on the cusp of a technological revolution. At OmniTech Solutions, we are defining the roadmap for the year 2026 through our groundbreaking Project 2026 initiative. We are seeking a visionary Lead AI Engineer to architect scalable, next-generation artificial intelligence systems that will redefine industry standards.

In this role, you won't just maintain the status quo; you will build the foundation for our future. You will work alongside world-class researchers and engineers to deploy cutting-edge machine learning models that solve complex, real-world problems at scale. If you are passionate about the intersection of data science and strategic engineering, this is your opportunity to lead the charge.

Why Join Us?

  • Work on futuristic AI architectures.
  • Competitive compensation and equity package.
  • Flexible remote-first culture.
  • Access to state-of-the-art compute infrastructure.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and neural network architectures.
  • Lead a team of data scientists and engineers to optimize model inference and reduce latency.
  • Collaborate with product managers to translate 2026 strategic goals into technical roadmaps.
  • Implement robust MLOps practices for continuous integration and deployment of AI models.
  • Conduct rigorous code reviews and technical mentoring for junior engineers.
  • Research and prototype emerging AI technologies to stay ahead of the curve.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, with at least 2 years in a leadership role.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade AI systems handling high throughput.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Docker Kubernetes AWS GCP System Design Leadership

Ready to Take This Challenge?

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