Senior Data Scientist- CV

Responsibilities:
Performing all technical development for assigned applications including architecture, design, developing prototypes, writing new code and APIs, and performing unit and assembly testing of developed software also as needed.
50- 70% of the time spent on coding and/or hands-on technical implementation of re-usable ML solutions
Build and automate our AI/ML data pipelines & work stream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization.
Research new algorithms to tailor solutions to Insurance world.
Identify new use-cases and come with PoC
Assess the AI/ML solutions/use-cases provided by partner companies and help adoption
Aware of the market trends and new technologies and benefit analysis of the same
Implement various use-cases using machine learning from identifying the algorithm, implementation, data set training and deployment. Build a feedback mechanism for re-training the model
deployment of machine/deep learning models
Training and testing deep learning models at scale Skills and Qualifications Requirements
Hands-on experience in AI/machine learning
Must possess R&D skills to look for new solutions.
Should know how to build AI models for un-structured datasets like videos, Photos, Voice, Speech.
Experience in building backend python applications.
Strong experience in building Microservices using python.
Strong experience in building applications using AWS managed services like (SQS, Lambda, Elb etc)
Strong experience in building distributed and scalable backend services.
Experience in writing scalable code using Python programming language (oops concepts)
Self-starter to research new algos and their PoC
Skills: Python, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection), Image processing, rest API
Should have deep knowledge of basic AI algorithms like LSTM, Object Classification, Object detection, Pattern recognition, RNN, CNN
Great communication skills
Bachelors Degree in Computer Science, Computer Engineering, Statistics, or related field; Masters Degree preferred
5 - 8 years of relevant engineering experience