Cognizant entry level data science off campus drive for fresher tech graduates who are looking for a job in data science and AI/ML opertion

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Required education qualifications is Engineering or any tech degree in any discipline ( Pursuing MS or PG Degree Is Preferred )

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Critical Thinking and ability to analyze numbers trends and data pattern is important to work on raw data to get desired insight 

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Must have demonstrated knowledge of one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding

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Popular upskilling courses include the Coursera Data Analytics Professional Certificate, AWS Academy training, and Microsoft Learn programs. Advanced training in AI, Cloud, and Big Data technologies gives candidates an edge in interviews.

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Knowledge of Machine Learning, Deep Learning, NLP (Natural Language Processing) & Python is added advantage.

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Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines is nice to have

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Machine learning expertise in TensorFlow, PyTorch, and scikit-learn is a core requirement. Cognizant projects involve NLP, Recommendation Systems, and Predictive Analytics solutions.

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Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

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Knowledge of Generative AI tools like ChatGPT, Copilot, and Claude is a big advantage in Cognizant’s projects. Roles increasingly require skills in Prompt Engineering and AI automation frameworks.

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Familiarity with transformer based and generative models like GPT3, T5 and Pegasus will be preferred.

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You have to Integrate AI&ML models with other applications using REST APIs and other connector technologies and build CI/CD pipelines for ML model deployment

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Cognizant is hiring candidates with strong skills in AWS, Azure, and Google Cloud platforms. Professionals with hands-on experience in Hadoop, Spark, and Kafka are in high demand.

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Knowledge of data visualisation software like Google Data Studio, Tableau, PowerBI and Looker a plus.

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Having knowledge of classification (Random Forest, SVM, Boosting and Bagging techniques) and clustering algorithms is desirable.

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You can also visit our official job portal for more MNC and data science job openings 

Hope you understand the basic criteria, just don't go for perfect criteria when you apply your will test link mail, so click below and apply now

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