Primary Role:
- Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend
- Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and Associates on a daily or periodic basis, contingent on the requirements of the project
- Able to contribute meaningfully to brainstorming discussions around nuances of the project
- Comfortable with statistical procedures, such as basic distributions, regressions, logistic models
- Experience with advanced statistics and Machine Learning algorithms is a plus
- Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project
- Comfortable in representing the proceedings and/or findings in a power-point
- Comfortable in mentoring junior resources, and creating an environment of learning in the team
- Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies
- Develop and define an area of expertise and take relevant trainings on the same for the organization
- Contribute to org level activities, such as taking interviews
Ideal Candidate must have all:
- Deep Learning
- Hands on experience in Computer Vision models - classification, object detection (Mandatory)
- CV pre-trained models - Resnet, Yolo
- Knowledge in Tensorflow, Pytorch, Keras (Mandatory)
- Advanced Python and SQL skills (Mandatory)
- ML experience- regression, classification model (Mandatory)
- Optional - knowledge in model Deployment, production environment, Django, AWS
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