Machine Learning Engineer
May 9, 2023
AWS
Big Data
Cloud
Deep Learning
Distributed Systems
Docker
GCP
Java
Kubernetes
Machine Learning
Optimization
Python
PyTorch
Tensorflow
Description
• Design and implement scalable systems for serving deep learning and reinforcement learning models. • Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation. • Utilize GPU computing to accelerate model training and inference. • Develop and deploy production workflows for training and serving machine learning models. • Collaborate with data scientists and software engineers to design and implement machine learning systems. • Monitor and improve the performance of machine learning models in production. • Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning.
Requirements
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. • 3+ years of experience in software engineering or machine learning engineering. • Strong programming skills in Python (C++ or Java a plus) • Experience with deep learning frameworks such as TensorFlow or PyTorch. • Experience with GPU programming using CUDA, OpenCL, or similar libraries. • Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. • Preferred Qualifications: Ph.D. in Computer Science, Electrical Engineering, or a related field. • 5+ years of experience in software engineering or machine learning engineering. • Experience with reinforcement learning algorithms and frameworks. • Experience with production deployment of machine learning models and implementation of APIs for big data. • Strong understanding of computer architecture and performance optimization. • Strong communication and collaboration skills.
Benefits
• Opportunity to work on cutting-edge technology • Join a dynamic team • Work on projects utilizing latest computer science techniques
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