
Job Overview
Location
India Hub - Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
April 15, 2026
Full Job Description
đź“‹ Description
- • Senior Machine Learning Engineer responsible for building and operationalizing core ML components powering next-generation search, summarization, and answer generation capabilities at Loopio Inc.
- • Day-to-day tasks include developing optimized embedding pipelines, prompt strategies, and fine-tuning methods for LLMs and NLP models; designing scalable ML services and inference pipelines in Python; integrating models with retrieval systems and feature stores; translating product requirements into engineering plans; participating in technical design reviews; and providing informal mentorship on modern NLP techniques and scalable model serving.
- • Part of a global, remote-first team spanning Canada, the UK, and India, with core collaboration hours from 11 am to 7:30 pm IST to enable overlapping work across time zones; company HQ’d in Canada with hubs in Ahmedabad (India) and London (UK).
- • Opportunity to deepen expertise in LLM workflows, retrieval-augmented systems, and production ML engineering while driving measurable customer impact through improved model accuracy, relevance, and robustness; potential to grow into technical leadership roles through ownership, mentorship, and contribution to architectural decisions.
Skills & Technologies
About Loopio Inc.
Loopio provides cloud-based RFP, RFx, and security questionnaire response software for enterprise sales, security, and proposal teams. Its platform centralizes content, automates workflows, and offers AI-driven suggestions to accelerate response creation, ensure consistency, and maintain compliance. Core features include a searchable knowledge library, collaboration tools, customizable templates, and analytics dashboards. Serving technology, financial services, and professional services firms, Loopio integrates with Salesforce, HubSpot, and Slack to embed response management into existing sales processes and reduce turnaround times.
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