Framework Engineer

Job Description- Framework Engineer

Title: Framework Engineer

Duration: Permanent Location: Abu Dhabi

About the Job (Framework Engineer)

• We are looking for talented, motivated full-time Framework Engineers who can deliver consistently in a fast-paced and high-quality manner. You will be responsible for building robust, effective, and well-packaged modern DL techniques, as well as contributing to our open-source projects.

Responsibilities

• This position involves a wide variety of skills and innovation and is a unique opportunity that sits at the cutting-edge of Deep Learning, Machine Learning and Software Engineering.

• Continuously improve the resource-adaptive deep learning (DL) training and scheduling framework and make distributed DL easy and efficient in dynamic-resource environments such as shared clusters and the cloud.

• Continuously improve the efficiency, robustness, and cost of existing modules.

• Contribute high-quality code and lead efforts in building open-source projects.

• Work hand-in-hand with system architects, designers, and other engineers to build and invent a phenomenal product with a prime focus on accuracy, understandability, and performance of the robust machine learning systems.

• Assess and recommend technology choices and directions in consideration of cost-benefit trade- offs.

Minimum Qualifications

• 3+ years of hands-on experience with DL frameworks including PyTorch, TensorFlow.

• 3+ years of hands-on experience with AI Platform Development based on Cloud/Cluster with the support from the popular AI accelerator architecture, CPU, GPU, IPU, etc.

• 3+ years of solid experience in MLOps (models lifecycle, setting up environments, handling dependencies, Model Serving (Real time/batch), cost-aware resource auto-scaling in cloud computing environments, distributed training, containers technologies).

• 5+ years of solid programming experience in one or more of the following: Java, C++, Python or equivalent

• Excellent English language communication skills, an easy-going attitude and ability to interact with all levels of engineers.

• Experience with source control systems, build tools, continuous integration.

• Familiar with product build/release processes.

• Hard working, self-starter, detail-oriented at work, and proven ability to meet strict deadlines.

Preferred Qualifications

• Masters’ degree in Computer Science or Applied Mathematics or Physics, with a specialization in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Software Engineering, Human-Computer Interaction, or related fields with 2+ years of equivalent practice or research experience, or Ph.D. degree in relevant fields.

• Experience in deploying Deep Learning, Machine Learning algorithms in resource-restricted environments such as mobile or embedded systems is highly preferred.

• Experience with in-depth knowledge of computer architectures, high performance programming and parallel programming.

• Experience working to optimize scientific or computationally intensive application codes, libraries or compilers.

• Experience with AI processor adapting PyTorch/TensorFlow mainstream deep learning framework

• Experience with developing popular open-source projects