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Lead ML Engineer

Unlock employer Abu Dhabi, United Arab Emirates Posted: 05 Sep 2024

Financial

  • Estimate: $120k - $180k*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Senior

Position

About the Job
AI71, a pioneering AI company launched by Abu Dhabi's Advanced Technology Research Council (ATRC) and VentureOne, stands as a pivotal movement in the realm of AI innovation. Leveraging the globally top-ranked Falcon AI models from the Technology Innovation Institute, AI71's focus spans across multi-domain advancements, initially targeting the medical, education, and legal sectors. We specialize in turning innovation into impact. If you're ready to lead a world-class software engineering team at the intersection of AI and venture building, then AI71 is the place for you.

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Job Description
Are you a seasoned ML Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining machine learning models in production environments for optimal performance? As our Lead ML Engineer, you'll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact.

What You'll Do:

  • Deploy and maintain machine learning models in production environments.
  • Implement monitoring solutions to track model performance and detect anomalies.
  • Collaborate with data scientists and engineers to streamline the model deployment process.
  • Optimize models for scalability, reliability, and real-world performance.
  • Implement and manage model versioning and rollback procedures.
  • Troubleshoot and resolve issues related to model inference and data pipelines.
  • Stay updated on the latest developments in ML Ops and implement best practices for model lifecycle management.

What You'll Bring:

  • 5+ years of experience in ML / Data science.
  • Bachelor's or higher degree in Computer Science, Machine Learning, or a related field.
  • Solid understanding of machine learning concepts and model deployment.
  • Proficiency in programming languages such as Python.
  • Experience with model deployment frameworks (e.g., TensorFlow Serving, ONNX Runtime).
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Familiarity with monitoring and logging tools for ML Ops.
  • Strong collaboration and communication skills.

Why AI71:

  • Proven performance of our large language models.
  • Strong traction and adoption from the open-source community.
  • Secured proprietary data to build specialized distinctive models.
  • Locked large compute power to support our roadmap.
  • Signed anchor clients, to develop POCs and demonstrate our solutions.
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