Job Description

• 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 Role & responsibilities Preferred candidate profile Perks and benefits