AI Implementation Engineer

Posted 11 Hours Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Entry level
Artificial Intelligence • Automation
The Role
Build, fine-tune, validate, deploy, monitor, and debug AI models for high-volume manufacturing operations. Responsibilities include defining defect-labeling rules, curating image datasets, analyzing model errors, conducting root-cause analysis, reporting performance, and coordinating with customers and internal teams. The role requires reviewing large image volumes, maintaining production model accuracy, and supporting projects through completion, with occasional customer-site travel.
Summary Generated by Built In

AI Implementation Engineer

We are seeking an individual who is passionate about getting AI actually used in production for live manufacturing operations. Your main role will be to use our software to build AI models and launch them in high volume manufacturing for customers.

Key Responsibilities:
Understand defects & use cases - Talk with customer engineers to understand what each defect looks like and why it matters. Write simple, clear rules so anyone can label new images the same way.
Curate high-quality training datasets -
Gather images, fix wrong labels, and make sure every defect type has enough examples.
Train & fine-tune models -
Feed the cleaned images into our training software. Adjust dataset and settings, and run tests until the AI meets the agreed accuracy.
Validate & root-cause analysis -
Analyse the AI’s incorrect outcomes and compare with input training dataset to identify what went wrong and fix the problems.
Deploy, monitor & debug in production -
Deploy the finished model on the factory’s computers or in the cloud. Spot drops in accuracy or strange results. When the AI slips, gather new images and repeat the training-and-fix cycle.
Keep everyone in sync -
Create AI performance reports and share regular updates with clients and internal teams to understand progress
Qualifications:

Fast learner & problem solver – you grasp new ideas quickly and can apply them without hand-holding.
Detail-oriented & patient –
comfortable reviewing thousands of images and spotting subtle issues.
Clear communicator –
able to explain your findings to customers and teammates in simple language.
Long-term mindset –
committed to owning a project from start to finish; customers rely on a stable point of contact.
Ready to start soon –
ideally available to join immediately or with minimal notice.
Willing to travel –
occasional short trips to customer sites as project needs dictate.
Bonus: any hands-on experience -
or even a basic understanding—of computer-vision or AI models.

No specific degree or prior AI experience is required; we provide full training.
Enthusiasm, reliability, and a desire to grow with us matter most.

Join us to engineer the intelligence behind every chip the world will ever make. Be part of our innovative and passionate team.

Skills Required

  • Fast learner and problem solver who can apply new concepts independently
  • Detail-oriented and patient when reviewing thousands of images and identifying subtle issues
  • Clear communicator able to explain findings to customers and teammates
  • Committed to owning projects from start to finish
  • Available to start immediately or with minimal notice
  • Willingness to travel occasionally to customer sites
  • Hands-on experience or basic understanding of computer vision or AI models
  • No specific degree or prior AI experience required; full training provided
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The Company
31 Employees
Year Founded: 2018

What We Do

Founded by alumni from IIT and NIT, and funded by top investors in Asia, SixSense is a Singapore and India based startup in the AI space. We have built a no-code platform that allows users to build, monitor and maintain deep learning models for computer vision applications. Currently our platform is primarily used by manufacturing engineers, to build AI models that can detect and classify defect in images. Using SixSense AI platform, they are transitioning from their decade old process of inspection using manual labour or rule-based systems, to a much efficient and scalable AI based technology.

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