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Lead Data Scientist - NLP/Generative AI (7-9 yrs) Hyderabad/Bangalore (Analytics | Scientist in Sc1

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Lead Data Scientist - NLP/Generative AI (7-9 yrs) Hyderabad/Bangalore (Analytics

Location:
Hyderabad/Bangalore
Description:

Job Description :Key Responsibilities for Lead Data Scientist (GenAI&NLP) :- Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute. - 6-10 years of experience using analytical tools/languages like Python on large-scale data - Must have Semantic modeling & NER experience - Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases - Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain and GPT (or similar models) Open CV.- Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering- Must have worked using Azure services for ML & GenAI projects. - Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains - Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc. - Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project. - Experience in productionizing & retraining models - Total work experience of 7+ years, 4+ years in Advanced NLP, 1 year experience in GenAI- Ability to guide and mentor teams of associates on solution development and approaches - Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning - Coding skills in one or more programming languages such as Python, SQL- Expert / high level of understanding on language semantic concepts & data standardization - Proven track record of successful models and practical implementation - Hands-on experience with popular ML frameworks such as TensorFlow - Experience with application development practices at scale, from problem definition to deployment. - Familiarity with any Cloud services such as AWS, Sage Maker etc. is considered a plus - Develop and apply Statistical Modelling techniques (e.g Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications - Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain We offer you :- Opportunity to work on cutting-edge AI projects- A chance to try things, take risks.- Meaningful problems you'll be proud of solving, which directly adds to your career growth & skill development- People you will be comfortable working with (ref:hirist.tech)
Education/experience:
5 To 7 Years
Company:
Resourcetree
Posted:
March 29 on hirist
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