Lead ML Engineer

AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. We work closely with industry partners, and our cross-functional teams of AI experts build innovative products grounded in the cutting-edge research from the Technology Innovation Institute (TII).

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 will play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact.

Responsibilities:

• 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.

Qualifications:

• 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.

Join us at AI71 to contribute to our mission of delivering impactful AI-driven solutions designed to address our partners' needs.

Location: Abu Dhabi, Emirate, United Arab Emirates
Work Conditions: On-site, Full-time