Chief Data Scientist

Bandhan Technologies Private Limited; Bengaluru, Mumbai; On-site; INR 400,000 - 700,000; Full time

Job summary

Bandhan Technologies Private Limited is seeking a senior AI/ML leader to translate business problems into AI use cases and solution blueprints. You will drive first-principles problem solving, influence tech and business teams, and embed AI into workflows with strong executive storytelling.

The role requires hands-on expertise in Python, SQL, ML/DL, LLMs, NLP, CV/Video, and cloud platforms (AWS/Azure/GCP). Familiarity with LangChain, LlamaIndex, Docker, Kubernetes, and scalable inference

Qualifications

• Proven track record in Advanced Analytics, Data Science, Predictive Modelling and Deep Learning.
• Strong hands-on experience with Python, SQL and ML/DL libraries (PyTorch/TensorFlow, scikit-learn).
• Experience with LLMs: prompt engineering, fine-tuning (LoRA/PEFT), RAG, agents, orchestration (LangChain, LlamaIndex).
• Experience with NLP, text mining, speech AI (ASR/STT, TTS) and conversational AI pipelines.
• Experience with computer vision and video models, embeddings, and transformer-based video architectures.
• Experience building multimodal systems combining text, voice, vision, and structured data for decisioning.
• Experience deploying AI systems on cloud platforms (AWS/Azure/GCP); familiarity with Docker, Kubernetes, CI/CD and scalable inference pipelines.
• Experience in Insurance, BFSI, FinTech, or HealthTech is preferred.
• Bachelors or Masters in Engineering/Technology/Statistics/Data Science; MBA is a plus.

Skills

Python

SQL

ML/DL libraries

LLMs

prompt engineering

fine-tuning

RAG

LangChain

LlamaIndex

NLP

text mining

speech AI

conversational AI

computer vision

video models

multimodal systems

system architectures

cloud platforms

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Education

Bachelor's/Master's in Engineering/Stats/Data Science

Tools

PyTorch

TensorFlow

scikit-learn

Job description

• A first-principles problem solver who challenges the status quo, thinks creatively, and has a strong bias for action.
• 1012+ years of strong hands-on experience in Advanced Analytics, Data Science, Predictive Modelling, and Deep Learning.
• Proven ability to translate business problems into AI/analytics use cases and solution blueprints.
• Ability to influence without authority across business and tech teams.
• Strong at embedding AI into workflows and driving adoption.
• Excellent executive storytelling using data, can explain complex Analysis and AI simply to CxOs.
• Solid understanding of statistics, machine learning, and model evaluation techniques.
• Strong proficiency in Python, SQL, and ML/DL libraries (PyTorch/TensorFlow, scikit-learn, etc.).
• Proven experience with LLMs: prompt engineering, fine-tuning (LoRA/PEFT), RAG, agents, and orchestration frameworks (LangChain, LlamaIndex, or similar).
• Experience with NLP, text mining, speech AI (ASR/STT, TTS), and conversational AI pipelines.
• Experience with computer vision and video models, embeddings, and familiarity with transformer-based video architectures (e.g., VideoMAE, TimeSformer, etc.).
• Experience building multimodal systems combining text, voice, vision, and structured data for decisioning.
• Experience in designing system architectures that combine models, APIs, and workflows.
• Experience deploying AI systems on cloud platforms (AWS/Azure/GCP); strong exposure to AWS services (Lambda, S3, SNS, SQS, EC2, RDS, KMS, SageMaker). Familiarity with Docker, Kubernetes, CI/CD, and scalable inference pipelines.
• Experience in Insurance, BFSI, FinTech, or HealthTech preferred.
• Exposure to digital analytics platforms (e.g., Google Analytics, BigQuery) is a plus.
• Bachelors or Master’s degree in Engineering, Technology, Statistics, Data Science, or related fields from a reputed institute; MBA is a plus.