Data Science Analyst
- Infogain
- 3 - 8 years
- Pune
- 4 months ago
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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 & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: InfogainLocation(s): Pune
Keyskills: Data Science Machine Learning AWS Deep Learning Python
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Infogain
Infogain is a Silicon Valley headquartered company with software platform engineering and deep domain expertise in the travel, retail, insurance and high technology industries. We accelerate the delivery of digital customer engagement systems using digital technologies such as cloud, mic...
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