About the Lead Data Scientist Job Role :

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
Create, experiment with, and deliver innovative solutions in a consultative mindset 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.
Total 7+ years of experience using analytical tools/languages like Python on large-scale data.
Must have Semantic model & NER experience.
Experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases.
Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, GPT (or similar models), and OpenCV.
Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering.
Experience using Azure services for ML & GenAI projects is a plus.
Demonstrated ability to engage with client stakeholders.
Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, and Text Mining.
Strong understanding of integrating NLP models into business workflows. Prospects should be exposed to project initiation and business impact creation in at least one project.
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 and SQL.
Hands-on experience with popular ML frameworks such as TensorFlow.
Expert / high level of understanding of language semantic concepts & data standardization.

Lead Data Scientist