Artificial Intelligence and Machine Learning Engineer

AIML Engineer

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.