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Technical Architect
Location Chennai
Total Views397
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 5.8 Year
  • Cost
    Hourly Rate$12.5
  • availability
  • work from
    Work FromAny
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    CategoryInformation Technology & Services
  • back in time
    Last Active OnJune 20, 2024
Key Skills
Artificial IntelligenceMachine Learning Deep Learning Lambda AWS Amplify Amazon PinpointPythonETL Selenium AutoITNodeJS VBDataWarehouse Data Mining MS-SQLTechnical Architect

Highly motivated with 5+ years of experience in Machine Learning and strong functional and technical skills across multiple horizontals & verticals. Responsible for multiple application implementations throughout the complete life cycle using innovative technologies like Artificial Intelligence, Machine Learning and Deep Learning. Highly Equipped with Functional experience including gathering business requirements from clients, Writing Technical specification, Estimating the project and its cost, respected team Leader/player, equipped with powerful communication, coordination, and analysis skills. Able to interact and collaborate with cross-functional teams and throughout all organizational boundaries.

  • Assist customers and partners with hands on technical assistance for demonstrations, trials, and proof of concept projects.
  • Managing product evaluations and developing adoption plans that assist customers.
  • Profound experience implementing workflow solutions using Supervised and Unsupervised Learning for Statistical Data Analysis, Machine learning, Big Data handling and Computer Vision.
  • Building complex and efficient models using AI/ML techniques, Dashboarding, reporting, predictive modeling, architect data analysis pipelines.
  • In depth understanding in the areas of Deep learning, NLP and Chatbot.
  • Experience in building information extraction solutions for textual datasets prepared by scraping anonymous queries and responses from various question answering forums.
  • Responsible for the entire life cycle of the project including but not limited to data cleansing, pre-processing, building live model, project management, configuration, deployment and post go-live support.


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