GenAI & Data Science Lead

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