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Data Scientist
2 weeks ago
Job LocationBangalore
RoleSummary:
You will help our clients solve realworld problems bytracing the datatoinsights lifecycle: Understand business problemsmaking sense of the data landscape & footprint performing acombination of exploratory Machine Learning & AdvancedAnalytics on textual data Create experiment with and deliverinnovative solutions in a consultative mind set to clientstakeholders using textual data.
Desired Profile:
Background inComputer Science/Computer Applications or any quantitativediscipline (Statistics Mathematics Economics/Operations Researchetc.) from a reputed institute36 years ofexperience using analytical tools/languages like Python onlargescale dataMust have Semantic modelling& NER experienceExperience workingwith pretrained models awareness of stateofart in embeddings andapplicability for use casesMust have strongexperience in NLP/NLG/NLU applications using any popular Deep learning frameworks like PyTorch Tensor Flow BERT Lang chain and GPT(or similar models) Open CVMust haveexposure to Gen AI models (LLMs) like Mistral Falcon Llama 2 GPT3.5 & 4 Prompt EngineeringMust haveworked using Azure services for ML & GenAIprojectsDemonstrated ability to engage withclient stakeholders at multiple levels and provide consultativesolutions across different domainsDeepknowledge of techniques such as Linear Regression gradient descentLogistic Regression Forecasting Cluster analysis Decision treesLinear Optimization Text Mining etc.
Prospect should have exposure to project initiation to businessimpact creation in at least one project.
Experience inproductionizing & retraining modelsTotal work experience of 3 to 6 years 3 years in AdvancedNLP 1year experience in GenAIBroad knowledgeof fundamentals and stateoftheart in NLP and machinelearningCoding skills in one or moreprogramming languages such as Python SQLExpert / high level of understanding on language semanticconcepts & data standardizationProven track record of successful models and practicalimplementationHandson experience withpopular ML frameworks such as TensorFlowExperience with application development practices atscale from problem definition to deploymentFamiliarity with any Cloud services such as AWS SageMaker etc.
is an added advantageDevelop andapply Statistical Modelling techniques (e.g. Bayesian models anddeep neural networks) optimization methods and other ML techniquesto different applicationsKnowledge in MachineLearning techniques in entity resolution common speech products ortext search domain.Remote Work :
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