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Senior Data Scientist

4.00 to 6.00 Years   Bangalore   26 Nov, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Senior Data ScientistBrief about the Role The Platforms team of the Data Science Group at [24]7.ai builds scalable AI to aid in conversational AI, agent assist solutions, and ad personalization for the Cloud. We are looking for a highly motivated and qualified data scientist to build some of our AI initiatives. This role is ideal for candidates with strong, hands-on skills in machine learning and natural language processing.Educational Qualifications: Bachelors, Master s or PhD degree from reputed universities or institutes in one of the following disciplines:

  • Artificial Intelligence / Machine Learning
  • Data Science
  • Cognitive Computing
  • Computational Linguistics
  • Computer Science
Requirements
  • 4+ years of experience with general purpose programming languages e.g., Python, C/C++, Java
  • 4+ years of hands-on experience in machine learning
  • Experience in various deep learning models, e.g., transformers, LSTMs, RNNs
  • Experience in solving problems related to Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)
  • Experience with machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch
  • Experience building and deploying machine learning models on the Cloud (Google Cloud, Azure, AWS)
  • Experience with production architecture of machine learning systems
  • Good to have exposure to conversational AI, AI-based question-answering systems, AI-based compliance and monitoring systems, and ad personalization
  • Good to have exposure to MLOps pipelines and Kubeflow
  • Excellent communication skills
  • Ability to collaborate cross-functionally
  • Good presentation skills
  • Attention to detail
Responsibilities
  • Collaborate with the Engineering and Product teams to implement machine learning models into the products and offerings of [24]7.ai
  • Collaborate with your team members. Be responsible for implementing the machine learning models, testing them, refining them, and taking them to production
  • Collaborate within the Data Science Group to review and refine your work to ensure the highest quality
  • Take end-to-end ownership of AI initiatives
  • Proactively discuss ideas for feature enhancements with the data science leadership and product leadership
About [24]7.ai[24]7.ai is a leader in the Conversational AI market, with over 250+ Fortune 500/1000 customers. We continue to transform our business to drive greater value to our team, shareholders, customers through new product development and market growth.[24]7.ai is redefining the way companies interact with consumers. Using Artificial Intelligence and Machine Learning to understand consumer intent, [24]7.ai s technology helps companies create a personalized, predictive and effortless customer experience across all channels. The world s largest and most recognizable brands are using intent-driven engagement from [24]7.ai to assist several hundred million visitors annually, through more than 1.5 billion conversations, most of which are automated and learn from each consumer experience.For more information, visit: www.247.ai , Senior Data ScientistBrief about the Role The Platforms team of the Data Science Group at [24]7.ai builds scalable AI to aid in conversational AI, agent assist solutions, and ad personalization for the Cloud. We are looking for a highly motivated and qualified data scientist to build some of our AI initiatives. This role is ideal for candidates with strong, hands-on skills in machine learning and natural language processing.Educational Qualifications: Bachelors, Master s or PhD degree from reputed universities or institutes in one of the following disciplines:
  • Artificial Intelligence / Machine Learning
  • Data Science
  • Cognitive Computing
  • Computational Linguistics
  • Computer Science
Requirements
  • 4+ years of experience with general purpose programming languages e.g., Python, C/C++, Java
  • 4+ years of hands-on experience in machine learning
  • Experience in various deep learning models, e.g., transformers, LSTMs, RNNs
  • Experience in solving problems related to Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)
  • Experience with machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch
  • Experience building and deploying machine learning models on the Cloud (Google Cloud, Azure, AWS)
  • Experience with production architecture of machine learning systems
  • Good to have exposure to conversational AI, AI-based question-answering systems, AI-based compliance and monitoring systems, and ad personalization
  • Good to have exposure to MLOps pipelines and Kubeflow
  • Excellent communication skills
  • Ability to collaborate cross-functionally
  • Good presentation skills
  • Attention to detail
Responsibilities
  • Collaborate with the Engineering and Product teams to implement machine learning models into the products and offerings of [24]7.ai
  • Collaborate with your team members. Be responsible for implementing the machine learning models, testing them, refining them, and taking them to production
  • Collaborate within the Data Science Group to review and refine your work to ensure the highest quality
  • Take end-to-end ownership of AI initiatives
  • Proactively discuss ideas for feature enhancements with the data science leadership and product leadership
About [24]7.ai[24]7.ai is a leader in the Conversational AI market, with over 250+ Fortune 500/1000 customers. We continue to transform our business to drive greater value to our team, shareholders, customers through new product development and market growth.[24]7.ai is redefining the way companies interact with consumers. Using Artificial Intelligence and Machine Learning to understand consumer intent, [24]7.ai s technology helps companies create a personalized, predictive and effortless customer experience across all channels. The world s largest and most recognizable brands are using intent-driven engagement from [24]7.ai to assist several hundred million visitors annually, through more than 1.5 billion conversations, most of which are automated and learn from each consumer experience.For more information, visit: www.247.ai ,

Keyskills :
deep learningazurelanguage processingcloudsqlanalyticsartificial intelligencedata scienceidealalgorithmsmachine learningproduct developmentcustomer experiencenatural language

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