Walk-in || AI ML

Must-Have:

• Real time industry experience working in Data Science ecosystem, Machine Learning development.
• Experience working on development of end-end AI application at an enterprise level, as well as testing and verifying AI applications
• Strong experience with Python application development
• Expertise in at least one Generative AI and LLM package, preferably Open AI models, otherwise in alternatives
• Experience in prompt engineering, Retrieval-Augmented Generation (RAG) & fine-tuning.

Key Responsibilities:

• Design, develop, and deploy Machine Learning and AI models for business applications.
• Build predictive and prescriptive analytics solutions using structured and unstructured data.
• Perform data collection, cleansing, preprocessing, and feature engineering activities.
• Develop and evaluate ML models using supervised and unsupervised learning techniques.
• Implement Deep Learning models using TensorFlow, PyTorch, or similar frameworks.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Monitor model performance and continuously improve accuracy and scalability.
• Deploy models using MLOps practices and cloud platforms.
• Create dashboards, reports, and visualizations to communicate insights effectively.
• Stay updated with the latest advancements in AI, Machine Learning, NLP, and Generative AI technologies.