Job Description
Responsibilities
Experience with Machine Learning libraries, implementing and deploying ML-based offerings in production
Leads definition of analytics vision, multiple use-case evaluations and selection criteria, as well as project-level scope definition
Hands-on working experience in various AI powered model implementation with NLP Deep Learning Algorithms
Expertise in platform development, distributed computing and micro services
Strong Hands-on experience in Java/ Python programming skills and Web Services (spring boot)
Experience implementing ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K-Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning.
Development experience in the following technologies Kafka, Cassandra, MongoDB, Spark, Big Data
Hands on experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Torch and Theano
Hands on experience on ML library
Educational Requirements
MBA,Bachelor of Engineering
Service Line
Quality
Preferred Skills:
Artificial Intelligence
* Location of posting is subject to business requirements