Machine Learning Engineer

Company: AI71
Role: ML 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. 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.

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 / 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