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Machine Learning Engineer
2 months ago
Job Title: Principal Engineer, Machine Learning
At ST Engineering, we are seeking a highly skilled Principal Engineer, Machine Learning to join our team. As a key member of our product development team, you will be responsible for the end-to-end implementation of deep learning models to tackle real-world video analytics problems.
Key Responsibilities:
- Develop production-quality video analytics software
- Conduct research to develop new techniques to improve the performance of existing models
- Evaluate deep learning models and develop tools to accelerate machine learning workflows
- Develop technical proposals and presentations to potential clients
Requirements:
- Experience with training models on deep learning frameworks such as TensorFlow, Keras, PyTorch, Caffe2, and/or MXNet for computer vision tasks
- Experience with MLOps platforms such as MLFlow, KubeFlow, AWS Sagemaker, Azure ML, etc.
- Proficiency in mainstream programming languages such as C/C++, Python, JavaScript, PHP, etc.
- Knowledge of specific libraries for image processing, encryption, OpenCV, OpenSSL, PCL, etc.
- Experience with the full life cycle of model training to deployment into production
- Familiarity with working in a Linux environment on public clouds and locally
- Understanding of deep learning optimization concepts such as pruning, quantization, and the impact of accelerators on throughput, latency, and cost
- An explorative personality with a hunger for continuous improvements
- Strong problem-solving, analytical, and conceptual skills, with good communication skills
- Able to work independently with minimum guidance and monitoring, a good team player