Data Scientist

2 weeks ago


Bengaluru, Karnataka, India Saaki Argus & Averil Consulting Full time
Job Role - Data Scientist

Job Location- Bangalore

Role Summary:


You will help our clients solve real-world problems by tracing the data-to-insights 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 institute3-6 years of experience using analytical tools/languages like Python on large-scale dataMust have Semantic modelling & NER experienceExperience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use casesMust 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 CVMust have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt EngineeringMust have worked using Azure services for ML & GenAI projectsDemonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domainsDeep 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 modelsTotal work experience of 3 to 6 years, 3+ years in Advanced NLP, 1-year experience in GenAIBroad knowledge of fundamentals and state-of-the-art in NLP and machine learningCoding skills in one or more programming languages such as Python, SQLExpert / high level of understanding on language semantic concepts & data standardizationProven track record of successful models and practical implementationHands-on experience with popular ML frameworks such as TensorFlowExperience with application development practices at scale, from problem definition to deploymentFamiliarity with any Cloud services such as AWS, Sage Maker etc.

is an added advantageDevelop and apply Statistical Modelling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applicationsKnowledge in Machine Learning techniques in entity resolution, common speech products or text search domain.
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