Data Scientist - Computer Vision & Deep Learning

Dikshitha 

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