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 Additional Responsibilities Ability to work with clients to identify business challenges and contribute to client deliverables by refining analyzing and structuring relevant data Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Ability to assess the current processes identify improvement areas and suggest the technology solutions One or two industry domain knowledge Technical and Professional Requirements Proficiency in Python for data processing automation tasks and model development Robust 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 Preferred Skills Technology- Machine Learning- AI ML Solution Architecture and Design- generative ai Generic Skills Technology- OpenSystem- Python - OpenSystem Educational Requirements Bachelor of Engineering Bachelor Of Science Bachelor Of Technology BCA Master Of Technology Master Of Engineering Master Of Science MCA Service Line Engineering Services

📌 It Consulting (Bengaluru)
🏢 Infosys
📍 Bengaluru