Software Engineer(AI / ML)

Key Responsibilities :

• Design, Develop, and Deploy ML Models :
• Create ML models tailored for real-world applications, focusing on solving business or technical challenges.
• Design solutions that are scalable and production-ready, ensuring models are integrated seamlessly into existing systems.
• Work with Large Datasets :
• Handle large volumes of data, performing data preprocessing to clean and prepare datasets for model training.
• Conduct feature engineering to improve the quality and relevance of data used in model building.
• Model Evaluation :
• Evaluate model performance using appropriate metrics, ensuring they meet business and technical requirements.
• Continuously optimize models to improve accuracy, efficiency, and robustness.
• Collaborate with Cross-Functional Teams :
• Work with data scientists, engineers, and other stakeholders to integrate ML solutions into the product pipeline and production systems.
• Ensure that models align with business goals and technical requirements.
• Stay Up-to-Date with ML / AI Research :
• Keep track of the latest trends, papers, and technological advancements in the ML / AI field.
• Apply cutting-edge techniques like Generative AI, Large Language Models (LLMs), and Retrieval Augmented Generation (RAG) to real-world problems.

Skills & Experience :

Preferred Experience :

Skills Required

Python, Tensorflow, Pytorch, Aws, Gcp