Loopio

Senior Machine Learning Engineer

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Consumer SoftwareIndustries

Requirements

Candidates should have a minimum of 4 years of experience in a high-growth agile software development environment. They must possess experience in developing machine learning-driven applications and have a strong interest in statistical modeling and machine learning. A good understanding of ETL, data warehousing, data modeling, and data architecting is required, along with the ability to collaborate effectively with data scientists.

Responsibilities

The Senior Machine Learning Engineer will work closely with Product Managers, Software Developers, and Data Scientists to design, build, maintain, and optimize data management and machine learning applications. They will develop software to integrate machine learning capabilities into the platform through REST services, keep up with the latest ML technologies, and build data processing pipelines to support analysis and machine learning tasks. Additionally, they will perform code reviews and implement automated testing to ensure high software quality.

Skills

Machine Learning
Statistical Modeling
ETL
Data Warehousing
Data Modeling
Data Architecting
REST services
Natural Language Processing
GenAI

Loopio

RFP response software for enterprises

About Loopio

Loopio specializes in simplifying the process of responding to Requests for Proposals (RFPs), Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and Security Questionnaires. Its main product is RFP response software that helps businesses manage and automate the intricate task of creating high-quality responses. The software features a smart content management system that organizes a company's knowledge base, making it easy for teams to collaborate, assign tasks, and review projects efficiently. Loopio operates on a subscription-based model, allowing clients to access its software and tools for a recurring fee. This model helps clients save time and improve the quality of their responses, enabling them to win more business. Loopio stands out from competitors by focusing on enhancing collaboration and efficiency for medium to large enterprises across various industries, including technology, healthcare, and finance.

Key Metrics

Toronto, CanadaHeadquarters
2014Year Founded
$203MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Consulting, Enterprise SoftwareIndustries
201-500Employees

Benefits

Remote Work Options
Hybrid Work Options
Phone/Internet Stipend
Professional Development Budget

Risks

Increased competition from established players like SAP threatens Loopio's market share.
Potential over-reliance on CRM integrations poses risks if policies change.
Recent layoffs may indicate internal financial or strategic challenges.

Differentiation

Loopio integrates seamlessly with CRM systems like Salesforce and HubSpot.
The Response Management Loop Framework offers a holistic approach to proposal management.
Loopio's smart content management system centralizes and organizes knowledge efficiently.

Upsides

Growing demand for AI-driven content management boosts Loopio's market potential.
Integration with CRM systems streamlines sales and proposal workflows.
Expansion into new markets enhances Loopio's global presence and capabilities.

Land your dream remote job 3x faster with AI