GenAI & Data Science Lead

5 - 8 years

16 - 24 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

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

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