Data Scientist

Job Role Data Scientist

Job Location Bangalore

Role Summary:

• You will help our clients solve realworld problems by tracing the datatoinsights lifecycle: Understand business problems making sense of the data landscape & footprint performing a combination of exploratory Machine Learning & Advanced Analytics on textual data Create experiment with and deliver innovative solutions in a consultative mind set to client stakeholders using textual data.

Desired Profile:

• Background in Computer Science/Computer Applications or any quantitative discipline (Statistics Mathematics Economics/Operations Research etc.) from a reputed institute
• 36 years of experience using analytical tools/languages like Python on largescale data
• Must have Semantic modelling & NER experience
• Experience working with pretrained models awareness of stateofart in embeddings and applicability for use cases
• Must have strong experience in NLP/NLG/NLU applications using any popular Deep l earning frameworks like PyTorch Tensor Flow BERT Lang chain 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 3 to 6 years 3 years in Advanced NLP 1year experience in GenAI
• Broad knowledge of fundamentals and stateoftheart 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
• Handson 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 an added advantage
• 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.

Remote Work :

No