BENGALURU · FULLTIME
AI/ML

Infosys
Bengaluru · onsite · Posted 3d ago
Sourced from
Undisclosed3–7 yrsfulltimeBengaluru
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Section · 01
About this role
- 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. 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.
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Section · 02
Skills
PythonMachine LearningPower BiTableauData CollectionMicrosoft AzureNatural Language Processingreinforcement learningmachine learning algorithmsdata preparationml algorithmsComputer Visiondata profilinggoogle cloud platformamazon web servicesModel Validationunsupervised learningSpeechSpeech RecognitionModel DeploymentvalidationTuningDatabasesSupervised LearningModel TuningAI Model DevelopmentMachine Learning ModelsEvent DrivenAutoMLModel scaling
Section · Company
About Infosys

Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
Industries
IT Services & ConsultingConsulting
Employee ratings
48,765 reviews
3.5/ 5
Culture
3.6
Career growth
2.6
Work-life
3.6
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