Senior Data Scientist

Work on new initiatives for Machine Learning using conversational NLP techniques and introduce ML-based learning for recommendation and coaching assistant in our products

Work with the engineering teams and ensure timely deliveries.

Be part of a global Engineering team supporting Fortune 1000 customers worldwide.

Ability to experiment and iterate rapidly and provide tangible improvements in the overall engagement

You have got what it takes if you have

Masters or bachelors degree in computer science or a related study or equivalent experience.

4+ years of hands-on experience architecting and designing highly scalable and resilient systems.

Experience in designing & scaling applications based on Data Science, NLP, and conversational AI

Understanding of ML algorithms - classical and deep learning and ML frameworks

Good understanding of system availability, security, and performance management.

Hand-s on work experience in: PyTorch and its ecosystem of libraries, Word and document embeddings, Transformers and Attention, RNN, LSTM, A background in BERT and its variants, transfer-learning practices, NLP Libraries: NLTK, Genism , Spacy, ML-pipelines Apache Airflow/ Kubeflow/ RAY, OpenAI libraries and Models LLMs, scikit-learn, Pandas, Numpy , plotting using matplotlib, seaborn, HuggingFace.

Beside the knowledge of framework or libraries, having experience in building the recommendation systems with following algorithms will be considered as a plus:

Generative Models i.e. VAE & GAN

Collaborative based filtering/ Context aware/Graph based recommender systems

Factorization Machine, Deep recommender

Experience with any of the following is considered a plus:

TensorFlow, Big-data and PySpark

Data wrangling libraries: Beautiful Soup or Scrapy

R libraries, Taking models to production Cloud Technologies: GCP/AWS ML Graph Models GNN and NetworkX #LI-Hybrid #LI-RB1