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Data Science Analyst @ Infogain

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 Data Science Analyst

Job Description

Exp: 3 to 8 years

Job Location: Noida ( 5 days WFO)

Notice : Immediate to 30 days


Role & responsibilities

  • 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

  • Technical skills
  • Programming : Python, R, SQL
  • ML algorithms
  • Statistical ML algorithms
  • Deep Neural Network architectures
  • Model ensembling
  • Generative AI models
  • 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, model fine tuning
  • Knowledge of different Model fine tuning approaches for Large models
  • 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
  • Knowledge of Model Quantization and Pruning

Preferred candidate profile

Interested candidates , kindly share updated resume with details at si*********i@in*****n.com


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Pune

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Keyskills:   Data Science Machine Learning AWS Deep Learning Python

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Infogain

A Silicon-Valley headquartered company, Infogain is a global business oriented IT consulting provider of front-end, customer-facing technologies, processes and applications, leading to a more efficient and streamlined customer experience. We want our clients€™ interactions with their cus...