About SirionLabs:
SirionLabs - SaaS Product firm | is looking for people who are driven to make a difference.Bringing together leading innovation, unrivaled Contract Lifecycle Management expertise, and a deep commitment to customer success, SirionLabs helps the world’s leading businesses contract smarter.
Powered by intelligence uniquely connected across the complete contract lifecycle. SirionLabs’ easy-to-use, highly configurable Smarter Contracting Platform brings legal, procurement, and business teams together to author stronger agreements, manage risk and strengthen counterparty relationships.
Today, analyst firms such as Forrester, Spend Matters and IDC agrees that SirionLabs is a leader in CLM whilst world-leading businesses including Vodafone, Unilever, DHL, and Morgan Stanley trust SirionLabs to create, control, and manage over 5m contracts worth more than $300bn, in 100+ countries around the world. SirionLabs is backed by leading VC firms and has gone through a Series C round. SirionLabs is a 550+ people company with 7 offices globally.
Job Role: Machine Learning Research Engineer
Years of Relevant Experience required: 2-6 Years
Work Location: Gurgaon
Description:
We are looking for a Machine Learning/AI/NLP/Mathematics Research Engineer responsible for development of ML and AI projects across the company. Your primary focus will be development of all server-side logic, algorithm, technology development, AI amp; ML/NLP Product hacker, SaaS focused API/SDK based B2B Enterprise product development, definition and maintenance of the various databases, and ensuring high performance and responsiveness to requests from the front-end.
You will also be responsible for integrating the front-end elements built by your co-workers into the application. A basic understanding of front-end technologies is therefore necessary as well
Responsibilities
Good to Have
Requirements
SirionLabs is an Equal Opportunity Employer
We value diversity in our workforce, we are an equal opportunity employer and do not discriminate based on race, colour, gender, religion, national origin, ancestry, age, disability, medical condition, genetic information, military amp; veteran status, marital status, pregnancy, gender identity, sexual orientation, or any other characteristics protected by local laws, regulations, and ordinance.
We also make reasonable accommodations for disabled employees and applicants as required by law.
We follow these principles in all areas of employment including recruitment, training, promotions, compensation, benefits, transfer, and social and recreational programs