AI Developer

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AI Developer

Stupa Sports Analytics

New Delhi INR 12 - 15 LPA Experience : 2 - 5 YRS. Openings: 1

Details:

Department/Project Name: Stupa Sports Analytics Location: Delhi
Role: Sr. AI developer Employment Type: Permanent
No of Resources Required: 1 Resources On-Board by: ASAP

 

Job Description:

Qualification: Graduation /Postgraduate, Background in Mathematics or Computer Science is desirable
Experience: 5+ years


Desired Candidate Profile:

  • Experience managing a team of Data Analysts/Scientists to deliver results and measure their success
  • An established career in Analytics, OR a proven desire to build a career in Analytics – any academic course in data science, Kaggle record, certifications.
  • A strong understanding of OpenCV , Machine learning, Deep learning, Image analysis, statistics.
  • Experienced in programming in python with relevant open source software packages (e.g. tensorflow, keras, scipy, opencv, etc.)
  • Conceptual understanding of Statistical modelling.
  • Understanding of Machine Learning algorithms (Regression, SVM, Decision Trees, PCA, Clustering, etc..)
  • Experience/Knowledge in C++/Java, Or Objective C will be preferred
  • Experience/Knowledge in Packaging AI libraries with Mobile application will be preferred
  • Experience/Knowledge in AWS, setting up cloud architecture will be preferred
  • Experience in best practices in machine learning model development, software development, version control, and continuous integration and deployment
  • Have worked on cross disciplinary agile teams
  • Excellent communication skills

Min. Qualification:

  • B-tech Graduate

Skills Required:

Cloud, ML & AI, Data Science

Roles:

Desired Skills:

  • Experience working closely with senior executives
  • Excellent interpersonal skills: establishes rapport and credibility with customers and within the company; people savvy; listens actively
  • Creative problem solving: naturally seeks innovative solutions to complex business and technical problems
  • Drive tech budgets. Set quality standards.
  • Strong communication skills: verbal, written, and presentation
  • Gracious and tactful in difficult conversations
  • Translates vision into strategy and guides execution in the technology framework.
  • Conducts business, financial, and technical analysis
  • Experience in technologies like Cloud, ML & AI, data science.

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