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Infosys Limited Hiring for Data Science at Bangalore Full Time
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Responsibilities
• Anchor ML development track in a client project • Data collection, profiling, EDA & data preparation • AI Model development, experimentation, tuning & validation • Present findings to business users & project management teams • Propose ML based solution approaches & 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 junior team members & evangelize AI in organization
Additional Responsibilities:
• Good verbal & written communication skills – articulate value of AI to business, project managers & other team members • Ability to break complex problem into smaller problems and create hypothesis • Innovation and experimentation
Technical and Professional Requirements:
• Programming: Python, R, SQL • ML algorithms: o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI • AI domains – NLP, speech, computer vision, structured data • Learning patterns – supervised, unsupervised, reinforcement learning • Tools for data analysis, auto ML, model deployment & scaling • Knowledge of datasets, pre-built models available in open community and 3rd party providers • Knowledge of software development & architectures • Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP
Preferred Skills:
Python,Artificial Intelligence->Python ML,Machine Learning->Data Science,Artificial Intelligence->NLP Deep Learning Algorithms,Bigdata->Pyspark
Educational Requirements
Bachelor of Engineering
• Anchor ML development track in a client project • Data collection, profiling, EDA & data preparation • AI Model development, experimentation, tuning & validation • Present findings to business users & project management teams • Propose ML based solution approaches & 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 junior team members & evangelize AI in organization
Additional Responsibilities:
• Good verbal & written communication skills – articulate value of AI to business, project managers & other team members • Ability to break complex problem into smaller problems and create hypothesis • Innovation and experimentation
Technical and Professional Requirements:
• Programming: Python, R, SQL • ML algorithms: o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI • AI domains – NLP, speech, computer vision, structured data • Learning patterns – supervised, unsupervised, reinforcement learning • Tools for data analysis, auto ML, model deployment & scaling • Knowledge of datasets, pre-built models available in open community and 3rd party providers • Knowledge of software development & architectures • Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP
Preferred Skills:
Python,Artificial Intelligence->Python ML,Machine Learning->Data Science,Artificial Intelligence->NLP Deep Learning Algorithms,Bigdata->Pyspark
Educational Requirements
Bachelor of Engineering