Lead Data Scientist

4 days ago


Andheri, India Cornerstone OnDemand Full time
We're looking for aLead Data Scientist

This role is

Hybrid

Cornerstoneprovides an AI-powered Talent Experience Platform for unified content discovery,knowledge management, and personalized learning platform for your careerjourney. 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 sourcesInthe Data Science and Machine Leaning team at Cornerstone we are looking forsolid hands-on technologists with solid time-management skills and experiencein highly autonomous roles. You also function effectively in a collaborative environmentand are comfortable making independent decisions.KeyResult 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 productsWork 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 engagementYouAre: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.

Whatyou need:Master's or bachelor's degree in computer science or a related study or equivalent experience.6+ years of hands-on experience architecting and designing highly scalable and resilient systems.4+ years of experience in designing & scaling applications based on Data Science, NLP, and conversational AIUnderstanding of ML algorithms - classical and deep learning and ML frameworksGood understanding of system availability, security, and performance management.In particular, the candidate shouldhave work experience with:PyTorch and its ecosystem of librariesWord and document embeddingsTransformers and AttentionRNN, LSTMA background in BERT and its variantstransfer-learning practicesNLP Libraries: NLTK, Genism , SpacyML-pipelines – Apache Airflow/ Kubeflow/ RAYOpenAI libraries and Models - LLMs

Besides this, the candidate must possess a matureunderstanding of, and hands-on experience in, the broad field of machinelearning and statistical methods. Must be conversant with:scikit-learnPandasNumpyplotting using matplotlib, seaborn, etc.HuggingFaceBesidethe knowledge of framework or libraries, having experience in building therecommendation systems with following algorithms will be considered as a plusGenerative Models

VAE & GANCollaborative based filtering/ Context aware/Graph based recommender systemsFactorization Machine, Deep recommender

Experiencewith any of the following is considered a plus:TensorflowBig-data and PySparkData wrangling libraries: Beautiful Soup or ScrapyR librariesTaking models to productionCloud Technologies: GCP/AWSML Graph Models GNN and NetworkX


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