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Machine Learning Engineer

Unlock employer Abu Dhabi, United Arab Emirates Posted: 07 May 2024

Financial

  • Salary unspecified
  • Zero income tax location

Accessibility

  • Contact employer for details

Requirements

  • Experience: Intermediate

Position

  • Industry: Technology, Information and Internet
  • Role: ML Ops Engineer
  • Location: Abu Dhabi, UAE
  • About Us: 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.
  • Job Description: Are you a seasoned ML Ops 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 ML Ops Engineer at AI71, 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:
    • 3+ years of experience in ML Ops or a related field.
    • 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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