Implementation Engineer

The role

You will own key delivery functions as part of the India team. You will configure projects, build reports, and automate workflows to provide actionable insights for utility and geospatial clients.

What you will do

• Configuring projects and ensuring system integration for utility/geospatial clients
• Build reports and dashboards for data analytics and tracking
• Conceiving efficient workflows for delivery projects with a focus on automation
• Identifying and prioritising improvements by partnering with engineering and product teams
• Detecting inaccuracies in the digital twin and reconfiguring automodelling and dependencies
• Analysing client requests or issues and identifying new innovative opportunities
• Providing mentorship and training to new members
• Reporting on project status to internal stakeholders and leadership

Required qualifications

• Bachelor in Electrical / Geospatial / Computer Science or any other relevant Engineering degree
• 1-5+ years of experience
• Fluent verbal and written communication skills in English
• Comfort working with spatial/mapping tools and 2D/3D data
• Proven coding experience in any language
• Ability to solve scalable problems
• Ability to successfully implement solutions in professional settings
• Experience working with a cloud-based software solution and using AI tools

Nice to have

• Quick learner, proactive and disciplined, with the grit and drive to tackle demanding tasks
• Strong logical reasoning and creative problem-solving ability
• Experience with databases, proficiency in logical, lookup and reference functions
• Proven experience in system implementations, integrations, and technical project delivery
• Genuine interest in spatial reasoning and working with 2D / 3D data
• Experience in GIS, LiDAR or FME
• Experience supporting large-scale transmission or utility infrastructure projects
• Experiences with Project Management practices and tools

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The team utilizes AI and machine learning to accelerate data classification and complex scenario analysis.