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).
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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
