Senior Data Scientist - AI Labs

IDFC FIRST Bank; Mumbai; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

IDFC FIRST Bank is seeking a Senior Data Scientist to drive Generative AI initiatives and large language model deployments. You will lead cross‑functional teams, architect and fine‑tune state‑of‑the‑art models, and collaborate with product, data, and engineering groups to apply AI to business use cases.

Strong expertise in ML, NLP, Python/R, and ML frameworks is required, along with experience handling large text datasets and deploying AI services.

Qualifications

• Graduation: B.Sc / B.Tech / BCA.
• Post‑Graduation: M.Sc / M.Tech / MCA.

Responsibilities

• Lead cross‑functional teams in design, development, and deployment of Generative AI solutions with a focus on LLMs.
• Architect, train, and fine‑tune state‑of‑the‑art LLMs (e.g., GPT, BERT, T5) for business applications.
• Deploy and scale LLM‑based solutions in production with performance optimization.
• Develop ML workflows for training, evaluating, and deploying Generative AI models using Python or R and libraries like Transformers, TensorFlow, PyTorch.
• Collaborate with product, data, and engineering teams to define use cases for LLM applications such as conversational agents, content generation, and semantic search.
• Design and implement fine‑tuning strategies for domain tasks to ensure high relevance and accuracy.
• Evaluate and optimize LLM performance, addressing prompt engineering, inference time, and bias.
• Manage and process large, unstructured datasets using SQL and NoSQL databases.
• Build and deploy AI‑driven APIs and services for scalable LLM access.
• Use Matplotlib, Seaborn, Tableau to communicate model performance and insights to non‑technical stakeholders.

Skills

Machine Learning

Statistics

Python

R

NLP

LLMs

Hugging Face

TensorFlow

PyTorch

SQL

NoSQL

Data Visualization

Education

Bachelor's degree in B.Sc/B.Tech/BCA

Master's degree in M.Sc/M.Tech/MCA

Tools

Hugging Face

TensorFlow

PyTorch

Job description

Job Purpose

In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with our ML engineers to ensure the effective deployment and functioning of these models.

Role Details

Role / Job Title: Senior Data Scientist

Function / Department: Data & Analytics

Education Qualification:

• Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
• Post‑Graduation: Master of Science (M.Sc) / Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Experience: 5‑10 years of relevant experience

Key / Primary Responsibilities

• Lead cross‑functional teams in the design, development, and deployment of Generative AI solutions, with a strong focus on Large Language Models (LLMs).
• Architect, train, and fine‑tune state‑of‑the‑art LLMs (e.g., GPT, BERT, T5) for various business applications, ensuring alignment with project goals.
• Deploy and scale LLM‑based solutions, integrating them seamlessly into production environments and optimizing for performance and efficiency.
• Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models, using Python or R, and leveraging libraries like Hugging Face Transformers, TensorFlow, and PyTorch.
• Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications such as conversational agents, content generation, and semantic search.
• Design and implement fine‑tuning strategies to adapt pre‑trained models to domain‑specific tasks, ensuring high relevance and accuracy.
• Evaluate and optimize LLM performance, including handling challenges such as prompt engineering, inference time, and model bias.
• Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with AI models.
• Build and deploy AI‑driven APIs and services, providing scalable access to LLM‑based solutions.
• Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non‑technical stakeholders.

Secondary Responsibilities

• Contribute to data analysis projects, with a strong emphasis on text analytics, natural language understanding, and Generative AI applications.
• Build, validate, and deploy predictive models specifically tailored to text data, including models for text generation, classification, and entity recognition.
• Handle large, unstructured text datasets, performing essential preprocessing and data cleaning steps, such as tokenization, lemmatization, and noise removal, for machine learning and NLP tasks.
• Work with cutting‑edge text data processing techniques, ensuring high‑quality input for training and fine‑tuning Large Language Models (LLMs).
• Collaborate with cross‑functional teams to develop and deploy scalable AI‑powered solutions that process and analyze textual data at scale.

Key Success Metrics

Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables.