Senior Machine Learning Engineer Ref 2021/0011/001 (closed)
Salary Market Aligned
Location Singapore
Consultant Jun Lim (R1329913)
Job Ref 2021/0011/001
Date Posted 29 October 2021
Our client is a rapidly growing organisation focused on end-to-end AI engineering. Over the next few years, the Firm is focused on building a vast array of hardware and software products to cater to the growing demand for computer vision and AI applications in Smart Cities, Industry 4.0, defence and medical areas.
Headquartered in Europe, the Firm has clients across the European Union, Middle East, and India. It has operations throughout Asia and Europe and continues to expand globally.
The Role
The Firm is looking for a Senior Machine Learning Engineer to be a part of its world-class team. This role requires you to work on multiple clients’ solutions across various business domains and provide them with a tangible output with the help of deep learning models. Besides developing models and recommending insights, you will also enjoy access to large proprietary data, run experiments, learn, and iterate.
Key Responsibilities
Write robust Python software code in the Firm’s machine learning training repository while applying best software practices to support machine learning scientists in tasks such as fetching training data, pre-processing it, and orchestrating the training runs
Integrate the training software into the Firm’s continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
Suggest, collect, and synthesise requirements and create effective feature roadmap
Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning
Profile performance of training software in the Firm’s training cluster, identify bottlenecks in and between CPU/GPU code execution, and work on optimising its throughput and scalability within and across nodes to ultimately reduce convergence time
Key Requirements
Experience programming in Python and/or C/C++
Proficient in system-level software, in particular hardware-software interactions and resource utilisation
Solid understanding of modern machine learning concepts and state of the art deep learning
Experience working with training frameworks, ideally PyTorch
Demonstrated experience scaling neural network training jobs across clusters of GPUs
Experience in Cuda programming and in DevOps, particularly dealing with clusters of training nodes, and file systems for very large amount of training data are an added advantage
Experience in profiling and optimising CPU-GPU interactions (pipelining compute/transfers, etc.) is a plus
How to Stand Out
MS degree in Computer Science or related quantitative field with experience in machine learning related work or research, or PhD degree in Computer Science or related quantitative field
Experience with filesystems, server architectures, and distributed systems
Why Join the Firm
Be a part of a people-first company that nurtures and rewards employees
The best place to work on cutting-edge technologies and innovative products
Fast moving, challenging, and unique business problems
Flat organisation and commitment to personal development
Diverse work environment and highly collaborative team ethics
Opportunities for international relocation and transfer
Competitive salary and rewards
If you are interested to work at the cutting edge of technology for a high-growth organisation, we would like to talk to you.
Please click the APPLY NOW button and indicate your notice period in your CV. Data provided is for recruitment purposes only.
We thank you for your interest in this position and regret that only shortlisted candidates will be notified.