Data Scientist

Cornerstoneprovides an AI-powered Talent Experience Platform for unified contentdiscovery, knowledge management, and personalized learning platform for yourcareer journey. Our award-winning Platform is used globally by Fortune 500 companiesand government organizations to solve content discovery, curation, andrecommendation problems across external, internal, and tacit knowledge sources.
In theData Science and Machine Leaning team at Cornerstone we are looking for solidhands-on technologists with solid time-management skills and experience inhighly autonomous roles. You also function effectively in a collaborativeenvironment and are comfortable making independent decisions.

Thiswould be Mumbai/ Pune/ Hyderabad/Bangalore based role.

• 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

• Master's or bachelor's degree in computer science or a related study or equivalent experience.
• 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.

• TensorFlow, Big-data and PySpark
• Cloud Technologies: GCP/AWS
• ML Graph Models GNN and NetworkX
• Building Recommendation Systems with Deep learning or GenAI models
• GenAI, using pretrained LLMs, finetuning of LLMs, prompt engineering and Multi-model
• Conversation agent framework with LangChain or RASA NLU etc.