Inspection Tech Manufacturing Quality Engineer - Bangalore / Chennai

Apple Inc.; Mississippi; On-site; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Inspection Tech Manufacturing Quality Engineer to join their innovative team. This role involves collaborating with suppliers to design and deploy advanced inspection equipment in a dynamic production environment. You will utilize your expertise in machine learning and computer vision to ensure the highest quality standards are met for millions of units daily. The position requires a balance of technical acumen and project management skills, with opportunities for creative problem-solving and hands-on work. If you have a passion for technology and quality assurance, this is an exciting opportunity to make a significant impact.

Qualifications

• 4+ years in machine vision or machine learning for manufacturing.
• Proficient in Python and familiar with automation and optics.

Responsibilities

• Collaborate with suppliers to design and deploy inspection equipment.
• Balance technical requirements and manage vendor collaborations.

Skills

Machine Learning

Computer Vision

Networking Concepts

Optics Understanding

Data Analysis

Collaboration

Education

Bachelor's in Mechanical Engineering

Bachelor's in Computer Science

Master's or PhD in relevant field

Tools

Python

AWS

Docker

Halcon

Keyence

Cognex

Turi Create

PyTorch

Keras

Scikit-learn

Job description

Inspection Tech Manufacturing Quality Engineer - Bangalore / Chennai

Bengaluru, Karnataka, India Operations and Supply Chain

Description

As an InTech MQE, your role will be to co-work with suppliers to design inspection equipment, build it, and deploy it in a production environment. You will explain not just how to build a solution or models to answer problems, but how to deploy models. These systems will be responsible for judgment of millions of units per day in a challenging mechanical part manufacturing environment. There is a bit of being like a start-up where you’ll occasionally have to wear multiple hats - sometimes you’ll need to be a technical project manager, other times you’ll need to deep dive into databases, while at other times you’ll need to work with optics improvements to be able to see part cosmetic defects consistently so that you can then drive inspection and machine learning advancements. You will be required to balance technical requirements while effectively managing collaborations with vendors to maintain schedule and ramp dates.

Minimum Qualifications

• 4+ years’ experience applying computer or machine vision or machine learning techniques to build models that are deployable into a manufacturing environment
• Knowledge of basic networking concepts and protocols, e.g.: TCP/IP, HTTP, etc.
• Experience with 2D/3D triangulation laser systems and/or CCD inspection systems such as Halcon, Keyence, Cognex, and/or Visco
• Familiar with mechanical metrology system qualification processes, such as GRR, Correlation, Stability, and Reliability
• Understanding of optics, image acquisition, software filtering, and judgment algorithms.
• Basic understanding of manufacturing processes (i.e. CNC, modeling, laser welding, etc.)
• Intermediate knowledge of automation including system layout, architecture, and cycle time optimization for optical, motion, and mechanical systems
• Ability to travel approximately 25-50% of the time, sometimes internationally
• Must have strong interest and understanding of technical details whilst simultaneously having a firm grasp of the bigger picture as it relates to overall final product quality
• Being hands-on, creative, and collaborative will be key in excelling in this role. Proficient use of English both written and oral

Preferred Qualifications

• Basic exposure to GD&T, data analysis, metrology
• Demonstrated technical skills in Machine or Computer Vision as well as Machine Learning (CNNs, object detection)
• Proficiency with Python, CLI, Linux, and Unix shell scripting
• Experience with cloud computing platforms AWS and deployment tools like Docker
• Experience building software ML solutions – all the way from inception to production. Proficiency in Python is preferred.
• Experienced user of machine learning and statistical-analysis libraries, such as Turi Create, PyTorch, Keras, Scikit-learn, SciPy.
• Ability to explain and present analyses and machine learning concepts to a broad technical audience.
• Bachelor's degree in Mechanical Engineering, Computer Science, Systems Design, Electrical Engineering, or equivalent experience. MS/ME or PhD is a plus.