Build and deploy GenAI Models with techniques such as RAG and Fine Tuning.

Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations.

Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc

Collaborate with software engineers to integrate Generative AI models into production systems

Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood.

Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution

Should be able to work on structured as well as unstructured data

Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production

Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred)

Should have working knowledge on managing ModelOps framework

Should understand CI/CD processes in product deployment and used it in delivery.

Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy

Should be able to take complete ownership of the assigned project

Experience of working in Agile environments

Well versed with JIRA or equivalent project tracking tool