Principal AI/ML & Data Science Architect

Wissda Consulting; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Wissda Consulting in Bengaluru is seeking an experienced Data Science leader to drive AI/ML programs, including Generative AI and NLP, across business units.

You will mentor a data science team, partner with product and engineering, and deploy ML models on cloud platforms (AWS/GCP) to deliver measurable insights and business impact.

Qualifications

• 10+ years in data science, ML, or marketing analytics.
• Strong Python and ML algorithm expertise.
• Hands-on Generative AI, LLMs, NLP experience.
• Production deployment of ML models on cloud (AWS/GCP).

Responsibilities

• Lead AI/ML and Data Science initiatives including Generative AI, LLMs, NLP.
• Develop ML models for predictive analytics and business insights.
• Work on marketing analytics including MMM, attribution, campaign measurement.
• Build and optimize data pipelines and integrate models into apps.
• Use Python and cloud platforms such as AWS or GCP.
• Lead and mentor the Data Science team and collaborate with Product, Engineering, and Business teams.

Skills

Python

ML algorithms

Predictive modeling

Statistical analysis

Generative AI

LLMs

NLP

Marketing analytics

Data science leadership

Cloud platforms

Team management

Tools

AWS

GCP

ML frameworks

Data pipelines

Production deployment

Job description

Job Description Key Responsibilities:

• Lead AI/ML and Data Science initiatives, including Generative AI, LLMs, and NLP solutions.
• Develop machine learning models for predictive analytics, optimization, and business insights.
• Work on marketing analytics, including Marketing Mix Modeling (MMM), attribution, and campaign performance measurement.
• Build and optimize data pipelines and integrate AI/ML models into business applications.
• Use Python, machine learning frameworks, and cloud platforms such as AWS or GCP.
• Lead and mentor the Data Science team and collaborate with Product, Engineering, and Business teams.

Required Skills:

• 10+ years of experience in Data Science, Machine Learning, or Marketing Analytics.
• Strong expertise in Python, ML algorithms, predictive modeling, and statistical analysis.
• Hands-on experience with Generative AI, LLMs, and NLP.
• Experience in Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or marketing measurement.
• Knowledge of AWS/GCP and deploying machine learning models into production.
• Strong technical leadership and team management experience.