Machine Learning Engineer

“Make every logistics journey your best one yet”

The Company.

Overview.

Job Overview.

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.

Qualifications:

• 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.

Originally posted on Himalayas