Details:

The Client
They are the first and currently the only player, in the predictive engine-based self-service analytics product space for end business users. They have created the world’s AI based virtual analyst, capable of understanding plain English queries from user, and autonomously being able to take decisions ranging from data selection to algorithm selection and finally visualisation and narratives, without any human intervention. They are now embarking on bringing explainable component to their AI based solutions, to make the business decisions simpler, easier and adaptable to larger stakeholders. They are also rapidly expanding to bring the product to the world's major businesses.

Position: Senior Python Developer
Relevant Experience: 3yr - 6yr
Location : Bangalore
Joining: Immediate to 30 days

Min. Qualification:

Key Skills - Python, Flask , microservices, OAuth / OpenId, Kafka, Docker, Spark, NoSQL, SPARQL, PySpark

a) 2+ years of strong programming experience in Python, Flask
b) Deep understanding on microservices design patterns, service registry and discovery,externalization of configurations
c) Strong experience in creation, management and consumption of REST APIs leveraging Swagger, Postman, API Gateways (such as MuleSoft, APIGEE) etc;
d) Strong Knowledge in Machine Learning, Deep Learning, NLP tools and frameworks
e) Strong Knowledge in python libraries like Pandas, Numpy, Scikit, TensorFlow, Keras, NLTK, Spacy
f) Knowledge on SUTime, POS tags, Apche Jena fuseki
g) Knowledge in data modelling, querying, performance tuning of any big-data stores (MongoDB, Elasticsearch, Redis et;) and /or any RDBMS (Oracle, PostgreSQL, MySQL etc;)
h) Experience in Kafka, RabbitMQ Message broker / Microservice Communication
i) Experience in Virtualization and Containerization especially in Technologies like Kubernetes, Docker.

Skills Required:

Python, Flask, Microservices, PySpark, NoSQL

Roles:

• Build and manage REST API stack for virtual analyst's AI, ML and NLP modules.
• Design & Optimize NLP modules for performance, throughput, high-availability and ease of maintenance.
• Translation of business requirements into reusable and testable code that integrate multiple systems.
• End to end product implementation.
• Implementation of security and data protection.
• Support for Integrations.