- Provide statistical analysis of conversation data
- Transform and integrate conversation data into our Data and ETL pipeline
- Enhance our ML models
- Keep abreast of state-of-the-art technology in the NLP/ML space, perform proof of concepts, and plan to incorporate these into our NLP/ML pipeline
- Work closely with product managers, business stakeholders and developers to design and deliver high quality, scalable NLP/ML solutions.
- Bachelor’s Degree (MSc+ is preferred) in Computer Science/Engineering or related field required
- Strong experience working with Python, Flask(Django), Numpy and Pandas
- An expert in NLP tasks such as Text classification, NER, Clustering, and Topic-modeling
- A good understanding of Machine Learning fundamentals
- Experience with TextCNN, LSTM, seq2seq, and BERT models
- A good understanding of transformers (tokenizers, pre-trained models, fine-tuning)
- Experience with TensorFlow, Keras, PyTorch, Scikit-learn
- Experience with NLP libraries like NLTK, spaCy, etc.
- Familiar with Linux systems.
- Experience with Azure, GCP, or AWS
- Experience with Docker and Kubernetes
- Experience with ETL and Data Engineering projects
- Experience with PySpark and MapReduce
- Experience with DataBricks, Snowflake, or Azure Data Factory
- Experience with Kubeflow, or Airflow.
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