Machine Learning Engineer
Required skills
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 skills
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
Technologies
TensorFlow, PyTorch, CUDA, OpenCL, Kubernetes, Docker, GCP, AWS
Responsibilities
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
Seniority
Highly motivated and experienced
Domain
Supply chain, logistics, AI, machine learning, deep learning, reinforcement learning