Software Developer (Machine Learning)

Job Summary

We are looking for a highly motivated and experienced individual as Full Stack ML Developer who will work predominantly on Python technology with AI Factory team – building NLP based algorithms.

You will contribute to the development of transversal projects and promote AI based application development.

Mandatory Skill-set:

• Diploma or Degree in Computer Science or Information Technology;
• 8+ years of software development experience with good understanding of user interface frameworks, back-end software architecture interactions and design capabilities;
• Strong development experience in developing RESTful Web Services using Node.js or Python -Python coding and data pipeline building/ NoSQL database preferably MongoDB / Restful Web API development with any API manager like WSO2;
• Experience deploying and debugging Node.js or Python application;
• Strong knowledge & experience with code versioning using Git;
• Good interpersonal skills and a strong team player;
• Enthusiastic person able to work in a fast paced environment.

Desired Skill-set:

• Experience with Jenkins or other CI/CD tools, Redis and Redis graph, RabbitMQ, Message Brokers and JMS, Node JS, C# or Java development & debugging;
• Experience in React or Angular.

Responsibilities:

• Involve in complete Software Development Life cycle in development of ML models;
• Building & maintain data processing pipelines and work closely with internal stakeholders / cross functional teams;
• Provide technical solutions for deficiencies in process, application configuration and operational procedures;
• Enhancing business applications based on business needs and providing continuous support to the application;
• Involved in system integration and user testing;
• Provide user and system support during and post implementation.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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