Location: Boise, ID or Remote: USA | India Company Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform
Product Engineer (Full-Time, Remote) Location: Remote (must be available during EST working hours) Compensation: $2,000 - $3,500/month (based on experience) About AnswerThis AnswerThis is an AI-powered research platform built to eliminate the most time-consuming part of academic
AI Application Builder / Codex Product Developer Full-time, Part-time, or Contract | Flexible Arrangement We are looking for a fast, practical, and product-minded software builder who can rapidly develop internal business applications using AI-assisted development tools such as
Company Description Pandita AI Inc is a leading innovator in machine learning, dedicated to creating transformative products that redefine how industries and individuals engage with data and AI technologies. Our focus on excellence and groundbreaking innovation has
QA Engineer Location: Remote Experience: 3 to 6 years Employment Type: Full-time, Remote About the client The client is building the future of scalable, cloud-native solutions. Based in the vibrant tech hub of Abu Dhabi, they
As an AI Customer Success Specialist, you will help customers successfully adopt and maximize the value of AI-powered platforms, applications, and enterprise solutions. You will leverage your communication, technical, and problem-solving skills to guide users, resolve
Job Summary Position: Geospatial Developer Employment Type: Contract Contract Duration: (6 months, extendable) Location: Remote Work Schedule: 8am to 5pm PHT Primary Responsibilities The role focuses on maintaining and enhancing Enterprise Geospatial Information System (EGIS), including:
Objective / Purpose: The Clinical Data Enablement Senior Manager FSP is responsible for operating and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role builds scalable ingestion and transformation