Data Analytics Role - KPO

Responsibilities:

- Interact with clients and internal business teams to identify and define the right problems to solve

- Create state of the art, scalable, and self-learning solutions for real business problems. This involves:

- Choosing the most appropriate machine learning technique based on business needs and available data

- Training and tuning a variety of machine learning models which include traditional as well as deep learning models

- Analyzing and reporting model performance and accuracy

- Own the development and deployment of end-to-end machine learning solutions

- Data exploration and pre-processing

- Model training and optimization

- Model performance evaluation

- Solution deployment

- Monitoring solution outcome

- Rapidly prototype the solutions in an agile manner

- Experiment and develop novel machine learning algorithms in the area of smart document processing, image processing and speech analytics

- Deploy machine learning/ deep learning models in production: both on premise as well as cloud deployment

- Present advanced analytics solutions to clients and internal stake holders.

Requirements:

- 1-2 years of experience in developing and deploying machine learning solutions (including deep learning)

- Education: Bachelor's/Master's degree in quantitative fields (Statistics, Operations Research, Mathematics, Econometrics, Computer Science. Physics,

- Electrical Engineering etc.). An advanced degree is preferred.

- Organized, self-motivated, disciplined and detail oriented

- Experience with one or more of deep learning frameworks like Tensorflow, Torch, Keras, Caffe, MXNet Theano

- Ability to learn emerging Machine Learning and Deep Learning techniques and apply them to solve real-world problems

- Experience in the area of Computer Vision/Natural Language Processing

- Experience with model optimization on GPUs is preferred

- Knowledge of Dockers, Containers and model API development is a plus

- Experience with big data analytics technologies like Apache Spark, Kafka, Flume, ElasticSearch is a plus.