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:
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.
