Responsibilities
Key Responsibilities: • Data collection, profiling, EDA & data preparation • AI Model development, tuning & validation • Visualization tools (e.g., PowerBI, tableau) • Present findings to business users & project management teams • Propose ML based solution approaches and estimates for new use cases • Experience in ML algorithms, NLP, GenAI based solutions • Supervised, Unsupervised, Reinforcement learning • Collaborate with data scientists and engineers to support ML model training, evaluation, and deployment. • Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP • Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management. Required Skills: • Proficiency in Python for data processing, automation tasks, and model development. • Strong understanding of ML model training, evaluation, and deployment. • Proficiency in GenAI based solution development. • Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP. • Experience in python-based web application for AI-ML use cases
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