Data Scientist Engineer Jobs in Gurgaon,Bangalore,Hyderabad - Digital Insetnia Inc
Job Description
As a Data scientist , you will be responsible for creating ML solution prototypes and working with our engineering team to transition these prototypes into production. You will work closely with the business and Tech teams to create machine learning platforms across various problem domains
Responsibilities
Research, design and evaluate ML models for identified problems Regularly report research outcomes to business and IT stakeholders
Develop end-to-end content relevance and search solutions.
Develop end-to-end NLP/ML solutions, and collaborate with technical architects to transition the prototype into the production environment
Stay up-to-date on emerging NLP, ML and IR trends and research
Who are you?
Machine Learning Specialty certification from AWS or Machine Learning Professional Certification by mlcertific is mandatory
Deep knowledge of ML techniques
Knowledge of DL and NLP concepts
Confident expressing real world problems in the ML space
Responsibilities
Research, design and evaluate ML models for identified problems Regularly report research outcomes to business and IT stakeholders
Develop end-to-end content relevance and search solutions.
Develop end-to-end NLP/ML solutions, and collaborate with technical architects to transition the prototype into the production environment
Stay up-to-date on emerging NLP, ML and IR trends and research
Who are you?
Machine Learning Specialty certification from AWS or Machine Learning Professional Certification by mlcertific is mandatory
Deep knowledge of ML techniques
Knowledge of DL and NLP concepts
Confident expressing real world problems in the ML space
Job Particulars
Role it software engineer
Who can apply Freshers
Hiring Process Face to Face Interview, Telephonic Interview
Employment TypeFull Time
Job Id975581
Job Category IT/Software , BSc/BCA/BBM , Work from Home
Locality Address DLF Cyber City
Country India
About Company
Our team works in an agile environment encompassing DevOps & CI/CD. We have multiple production workloads using ML and NLP already in the cloud and are continuing to grow!
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