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:

- 3-10 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

- Proficiency in one or more of programming languages like Python/ Java/ Scala

- 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