AI/ML Professional

Educational Requirements

Bachelor of Engineering

Service Line

Quality

Responsibilities

• Data Science Consultant with machine learning and Python experience.
• Knowledge on end-to-end architecture of Data Science and machine learning project.
• Experience in productionizing machine learning models and guide development team for implementing machine learning use cases.
• The candidate should provide technology consulting for defining right Data Science and ML use cases.

Technical and Professional Requirements:

• 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
• Contribute to AI based modules in Infosys solutions development
• Explore new advances in AI continuously and execute PoCs
• Mentoring: guide other team members
• ML algorithms
• AI domains: NLP, speech, computer vision
• Supervised, Unsupervised, Reinforcement learning
• Tools for data analysis, auto ML, model deployment and scaling
• Knowledge of datasets
• Programming: Python
• Databases
• Knowledge of cloud platforms: Azure/AWS/GCP.

Preferred Skills:

• Technology->AI-Data science->PYTHON
• Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai