AI-ML Engineer

Skills/Knowledge:

Required:

1. Statistics, Mathematics and algorithms behind ML and AI
2. ML workflows(technology agnostic) – data prep, model train, test, infer
3. AI workflows(technology agnostic) – data prep, network training, test, infer
4. Computer Vision workflows
5. Feature engineering – unsupervised/supervised learning, feature extraction, visualization, PCA
6. Tools(any one) – Python sci-kit, Tensorflow, Matlab

Preferred:

1. Data visualization
2. Run inference engines on constrained devices(like Raspberry Pi)
3. Run models in cloud environments – Google or Azure.
4. IoT domain knowledge

Role Expectations: 

1. Create and retrain models for new sets of data. Publish executive summary reports on new models created.
2. Work closely with IoT Platform team to understand data patterns, understand business need.
3. Integrate model inferencing with IoT Platform