Location:Chennai, Tamil Nadu, India Job ID: R0138661 Date Posted:2026-08-07 Company Name:HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category):Engineering & Science Job Schedule: Full time Remote:No Job Description: The opportunity: The technical marketing engineer for Mission Critical
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients
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
About the company: Prentis AI is a new AI research lab, launched in April 2026, focused on building \computer use\ models - AI trained to navigate the routine digital workflows office workers handle (documents, systems, forms),
Job Description NetWitness is revolutionizing how organizations detect, investigate, and respond to cyber threats. As a leader in SIEM (Security Information and Event Management) and NDR (Network Detection and Response), plus Extended Detection & Response (XDR),
About Client: Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies
Were helping an Identity platform hire a Enterprise Account Executive. Role: Enterprise Account Executive — Identity & Access Management Location: India, ideally Delhi NCR, Bengaluru, Mumbai. Remote possible. Type: Full-time Reports to: Founder / CEO About
About Kagool Kagool is a fast-growing global IT consultancy specialising in data, analytics, cloud and digital transformation. We help organisations modernise complex data landscapes, migrate legacy platforms to the cloud and build scalable data and analytics solutions