Job Description

We\'re looking for aPrincipal Data Scientist This role is Hybrid, Pune OfficeCornerstone provides an AI-powered Talent Experience Platform for unified content discovery, knowledge management, and personalized learning platform for your career journey. Our award-winning Platform is used globally by Fortune 500 companies and government organizations to solve content discovery, curation, and recommendation problems across external, internal, and tacit knowledge sourcesIn the Data Science and Machine Leaning team at Cornerstone we are looking for solid hands-on technologists with solid time-management skills and experience in highly autonomous roles. You also function effectively in a collaborative environment and are comfortable making independent decisions.Key Result Areas include:
Lead and drive execution of new initiatives for Machine Learning using conversational NLP techniques and introduce ML-based learning for recommendation and coaching assistant in our products
Lead team of ML engineers in evaluating ML technologies, building/training models, deployment of models and monitoring in production environments.
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 engagementYou Are:
A driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages excellent performance in a fast-moving environment.
Results orientated, motivated by success.
Self-motivated: You can work with minimal supervision and be able to strategically prioritize multiple tasks proactively.What you need:
Master\'s or bachelor\'s degree in computer science or a related study or equivalent experience.
7+ years of hands-on experience architecting and designing highly scalable and resilient systems.
5+ years of 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.In particular, the candidate should have work experience with: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 - LLMsBesides this, the candidate must possess a mature understanding of, and hands-on experience in, the broad field of machine-learning and statistical methods. Must be conversant with:scikit-learn
Pandas
Numpy
plotting using matplotlib, seaborn, etc.
HuggingFaceBeside 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 recommenderExperience 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 NetworkXOur Culture:Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now - is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone - anywhere - to learn, grow and advance. To be better tomorrow than they are today.Who We Are:Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.Check us out on , , , and !

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