Data Scientist
7 days ago
**_Experience: 4 to 8 Years_**
**Work Location: Baner, Pune**
**Job Requirements**:
- You’ll be working on AI platforms, which are a set of products responsible for building, training & deploying ML models for extraction & interpretation of semi & unstructured documents using NLP & Computer vision
- You’ll be working on ML model development as well as building automated training pipelines that deliver high-performance models on a given dataset.
- Educate SMEs on ensuring high-quality data annotations & help them to validate your ML models
- Take part in building APIs around your model for production & ensure that it is able to deliver expected accuracies & throughput requirements
**Skill Set Required**:
- Strong theoretical & practical knowledge of ML model development, hyper-parameter tuning & production deployment
- Strong experience in building models using libraries like Tensorflow, Pytorch
- Good experience in writing code in Python (3.x)
- Understanding of well-known architecture/algorithms in NLP like Transformers, LSTMs & GRUs
- Experience in fine-tuning pre-trained models like BERT, and ELECTRA for downstream tasks such as NER, Classification, etc.
- Understanding of Object detection using libraries like Yolo or TF object detection API
- Ability to understand model performance/shortcomings using various metrics like F1-score, mAP, confusion matrix, etc.
- Knowledge of standard packaging & deployment solutions like Tensorflow Model Server**, **MLflow, or ONNX.
- Practical knowledge of libraries like Numpy, Pandas & Spacy
- Practical knowledge of building RESTful APIs around your model using Fast/Flask API
**Good to have**:
- Knowledge of tf.data API for building reusable training pipelines
- Understanding of various model pruning techniques to maximize production throughput & minimize resource requirements needed for deployment
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