Job Description

Job Title: GenAI & Data Science Lead

Location:

Bangalore (Hybrid - 2-3 days work from office)

Experience:

5 - 8 Years

CTC:

Up to ₹25 LPA

Job Summary

We are looking for an experienced

GenAI & Data Science Lead

to drive the design, development, and deployment of enterprise-grade AI and data science solutions. The ideal candidate will bring strong expertise in

Generative AI, Machine Learning, Data Engineering, and BFSI domain

, and will play a key role in translating business challenges into scalable AI-driven solutions.

This role requires hands-on technical leadership, strong problem-solving skills, and the ability to collaborate with cross-functional stakeholders.

Key Responsibilities

Design, develop, and deploy

Generative AI and Machine Learning models

for use cases such as text generation, predictive analytics, NLP, and computer vision Lead

data preprocessing, feature engineering, and exploratory data analysis (EDA)

Build and deploy

enterprise-grade AI solutions

with scalability, performance, and security in mind Work closely with

product, engineering, and business teams

to integrate AI solutions into workflows Develop and maintain

data pipelines and analytics solutions

Monitor model performance, accuracy, and drift; continuously optimize deployed models Present insights, model results, and recommendations to stakeholders Stay updated with advancements in

Generative AI, MLOps, and data science best practices

Mandatory Skills

Strong hands-on experience with

Generative AI models and frameworks

(GPT, BERT, DALL-E or similar) Excellent programming skills in

Python and PySpark

Experience with

ML frameworks

: TensorFlow, PyTorch, Scikit-learn Strong knowledge of

NLP, Computer Vision, and data modelling techniques

Expertise in

data analysis and visualization

using Pandas, NumPy, Matplotlib / Seaborn / Plotly Experience with

cloud platforms

: AWS / Azure / GCP Strong background in

Data Engineering and BI

Banking / BFSI domain experience is mandatory

Experience in deploying models to production environments

Technical Skills

Programming:

Python, SQL

ML / AI:

TensorFlow, PyTorch, Scikit-learn

GenAI:

GPT, BERT, DALL-E, LLM-based solutions

Data Processing:

Pandas, NumPy, Spark

Visualization:

Matplotlib, Seaborn, Plotly

Cloud:

AWS, Azure, GCP

Version Control:

Git

Deployment:

Docker, Kubernetes

ETL & BI Tools:

Any standard BI/ETL tools

Data Warehousing / Lakes:

Databricks, Snowflake

Good to Have

Experience with

Apache Airflow, Apache Kafka

Familiarity with

MLOps practices

Knowledge of

deep learning and reinforcement learning

Experience in

model interpretability, fairness, and explainability

Certifications in

Databricks, Dataiku, Snowflake

Prior

product-based company experience

Qualifications

Bachelor's or Master's degree in

Computer Science, Data Science, AI, or related field

5-8 years

of experience in

AI, Data Science, and Data Engineering

Proven track record of

building and deploying production-ready AI solutions

Job Types: Full-time, Permanent

Pay: ₹1,639,058.42 - ₹2,495,310.59 per year

Benefits:

Health insurance Provident Fund
Application Question(s):

What is your notice period in days?
Experience:

Generative AI models and frameworks (GPT, BERT, DALL-E): 5 years (Required)
Location:

Bengaluru, Karnataka (Required)
Work Location: In person