Job Role - Data Scientist

Exp: 4-6yrs

Job Location- Bangalore (Hybrid mode with 3 days in office)

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

Responsibilities-

 Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.

 3-6 years of experience using analytical tools/languages like Python on large-scale data

 Must have Semantic modelling & 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 3 to 6 years, 3+ years in Advanced NLP, 1-year experience in GenAI

 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 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.

We offer you

Opportunity to work on cutting-edge AI projects

A chance to try things, take risks.

Meaningful problems you will be proud of solving, which directly adds to your career growth & skill development.