• Strong proficiency in Python for data processing, automation, and model development.
• Deep understanding of ML model lifecycle: training, evaluation, and deployment.
• Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with Natural Language Processing (NLP) techniques and tools.
• Experience in developing Generative AI solutions, including:
• Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual responses.
• Agent-based AI systems leveraging Large Language Models (LLMs) for autonomous task execution and decision-making
• Valuable to have experience integrating GenAI capabilities into enterprise applications using platforms like Microsoft Copilot Studio.
• Good to have experience in monitoring model performance and conduct thorough evaluations using metrics such as Precision, Recall, F1 Score, and BLEU
• Understanding of Responsible AI practices including model fairness, transparency, and auditability.
• Hands-on experience with Python-based web applications for AI/ML use cases.




• Solid knowledge of cloud-based AI services (Azure, AWS, GCP).
• Perform data collection, profiling, exploration data analysis (EDA), and data preparation.
• Apply a range of ML techniques including supervised, unsupervised, and reinforcement learning.
• Design, develop, and deploy machine learning models using Python and popular ML frameworks
• Implement NLP solutions using NLP techniques like preprocessing, tokenization, vectorization, and semantic analysis.
• Develop and deploy GenAI solutions such as RAG systems and Agentic AI.
• Monitor model performance in production and implement retraining strategies.
• Adhere to and implement Responsible AI principles in all ML workflows.
• Present analytical insights to business stakeholders and project teams.
• Propose ML-based solutions and provide effort estimates for new use cases.
• Collaborate with data scientists and engineers on model training, evaluation, and depl

📌 GEN AI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru