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
