Data Scientist

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 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 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, 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.