AI/ML Engineer

Roles & ResponsibilitiesData 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 Requirement

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.
Educational RequirementBachelor of Engineering
Preferred SkillsTechnology->AI-Generative AI->Prompt Engineering,Technology->AI-AI Engineering->LLMOps,Technology->AI-Responsible AI->Responsible AI
Service LineQuality