Job Description:

Minimum 4+ years of Experience required
Design, develop, and deploy advanced AI/ML models, including GenAI and Large Language Model (LLM)-based solutions
Develop Retrieval-Augmented Generation (RAG) systems integrating LLMs with enterprise data sources
Design and execute AI/ML test frameworks to validate model accuracy, robustness, bias, and performance
Excellent analytical and problem-solving skills
Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks
Should be able to host the models and make them Api convertible.
Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis.

Responsibilities:

Working on Cutting Edge AI solutions in partnership with best of business in the industry.
Propose innovate solutions and adopt quickly to dynamic learning environment.
Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Bring about Explainable and Responsible AI.
Conduct research from which you'll develop prototypes and proof of concepts
Look for opportunities to use insights/datasets/code/models across other functions in the organization
Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

Data Scientist