Role overview
Our rapidly growing engineering team is in search of an AI Engineer to lead the design and development of deep learning models on large amounts of high resolution image data, as well as analytical modeling solutions at scale on a cloud platform.
As an AI Engineer, you will work at start-up speed and can plan and develop roadmaps, adapting along the way to dynamic conditions. You should have a detail-oriented engineering and algorithmic mindset, and enjoy building, instrumenting, testing, and documenting large systems. You will have broad responsibilities, build a team as we grow, and be a part of the senior team. This is a full-time, exempt position that reports to the Head of Product.
What you'll work on
- Deep model development: develop new image processing models that include feature detection and instance segmentation.
- Develop and track model performance metrics across a variety of applications and data sets.
- Integrate model development and deployment into cloud-based automated data processing pipeline.
- Develop processes and algorithms for effective model retraining as necessary. You should have
- Data labeling: develop image labeling strategies for new model training and validation, including processes for on-going Q&A of deployed models. Evaluate labeling tools, including compatibility with AI training and validation systems.
- Train and deploy models using Pytorch, MLFlow, Sagemaker in AWS
What we're looking for
- MS degree in computer science, mathematics, engineering, or similar field
- Proficient in Machine Learning Operations management, with extensive AWS experience, and demonstrated experience with complete model lifecycle management
- Previous projects implementing Mask-RCNN and/or AWS Sagemaker
- Experience with stereo and multi-view image data
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Deep Learning Pytorch Tensorflow Ai Engineer