AI ML Engineer - D

• 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

Maruti Suzuki