Computer Vision Ai Engineer Mid Level

Computer Vision & AI Engineer | Mid Level at Thingtrax — Research Report

Introduction

The Computer Vision & AI Engineer | Mid Level role at Thingtrax is a high-impact position where you will deploy AI-powered agents to fundamentally change how factories operate. This internship or job opportunity has a deadline that is not specified, meaning you can apply immediately to secure your spot. Working here offers the career benefit of mastering cutting-edge agentic manufacturing technology while solving real-world industrial challenges in Lahore, Pakistan.

Overview of Thingtrax

Thingtrax is a VC-backed UK-based AI company transforming how food manufacturers see, understand, and optimize their production lines. The company is building an Agentic Manufacturing Operations platform that enables factories to observe, reason, and act autonomously using computer vision systems. Their niche lies in deploying AI-powered agents directly on production lines, a capability that few competitors currently offer at this scale.

Key products include live compliance and performance capabilities for label validation, treating it as a dynamic asset rather than a fixed cost. Thingtrax has a strong market presence in the UK and is expanding aggressively into Pakistan, with a dedicated hub in Lahore. The culture is innovative, fast-paced, and focused on engineering excellence, attracting top talent who want to work on the future of industrial AI.

Computer Vision & AI Engineer | Mid Level Role

Role Overview

As a mid-level engineer, you will design, develop, and deploy computer vision models that allow manufacturing lines to "see" defects and optimize processes. Your daily work directly impacts product quality and operational efficiency by enabling factories to reason and act on real-time data. This role is critical for Thingtrax’s mission to fundamentally change how factories run through AI-powered agents.

Detailed Responsibilities

• Develop and train deep learning models for object detection and defect classification on production lines.
• Integrate computer vision systems with edge devices to ensure real-time processing on factory floors.
• Optimize AI agents for low-latency performance in high-speed manufacturing environments.
• Analyze production data to refine model accuracy and reduce false positives in defect detection.
• Collaborate with hardware teams to ensure seamless deployment of vision sensors on assembly lines.

Day-to-Day Workflow

Your day typically starts with reviewing model performance metrics from the previous night’s production run to identify any anomalies. You will then spend several hours coding and training new models using Python and TensorFlow, focusing on improving detection accuracy for specific defects. Afternoon sessions often involve testing these models on edge devices in the lab or simulating factory conditions to ensure real-time reliability. The workflow ends with documenting findings and planning the next iteration of model improvements.

Tools and Technologies

You will work with a robust tech stack including Python, TensorFlow, and PyTorch for model development. The platform relies on edge computing frameworks like OpenVINO and NVIDIA Jetson for deploying vision systems directly on production lines. You will also use cloud platforms such as AWS for data storage and model training, alongside tools like Docker for containerization.

Skills and Requirements

Technical Skills

Proficiency in computer vision algorithms such as CNNs, YOLO, and ResNet is essential for this role. You must have strong experience with deep learning frameworks and the ability to optimize models for edge deployment. Knowledge of edge computing and real-time data processing is critical, as you will be working with systems that operate on high-speed lines.

Soft Skills

Problem-solving is vital, as you will need to troubleshoot complex issues in dynamic factory environments. Communication skills are required to collaborate effectively with hardware engineers and product managers. Adaptability is key, given the fast-paced nature of deploying AI agents in evolving manufacturing settings.

Experience Expectations

Thingtrax expects candidates to have a portfolio of projects demonstrating hands-on experience with computer vision and AI. A GPA of 3.5 or higher is preferred, though practical experience often outweighs academic metrics. You should have at least 2–3 years of relevant experience or a strong internship background in AI development.

Salary and Benefits

The estimated pay range for a mid-level Computer Vision & AI Engineer in Lahore is PKR 120,000 to PKR 180,000 per month, based on current market figures. Benefits include a learning budget for certifications, hybrid work options, and access to state-of-the-art AI labs. There is also a strong opportunity for full-time conversion after the internship period, with potential for rapid career growth.

Thingtrax Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit your resume and portfolio via the Thingtrax job portal.
2. Screening: ATS filters for keywords like "computer vision," "deep learning," and "edge computing".
3. Assignment: Complete a technical coding challenge focused on model optimization.
4. Interviews: Two rounds: one technical (coding and algorithms) and one behavioral (team fit).
5. Offer: Receive the employment contract and onboarding details.

Application Timeline

You should apply as soon as possible since the deadline is not specified. The typical process duration is 2–3 weeks, from application to final offer.

Screening Methods

Recruiters use ATS keywords such as "TensorFlow," "YOLO," and "edge AI" to filter candidates. A strong portfolio with GitHub links to computer vision projects is mandatory for passing the screening stage.

Interview Preparation

Example Interview Questions

• "How would you optimize a YOLO model for real-time inference on a low-power edge device?"
• "Describe a computer vision project where you reduced false positives in defect detection."
• "What strategies do you use to handle noisy data in industrial manufacturing environments?"
• "How do you ensure model robustness when deploying AI agents on high-speed production lines?"

How to Answer

Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly. Focus on quantifiable outcomes, such as "reduced inference time by 30%" or "improved accuracy by 15%".

What Recruiters Evaluate

Recruiters evaluate technical depth in computer vision, problem-solving agility, and cultural fit with Thingtrax’s innovative environment. They also look for practical experience with edge deployment and real-time processing.

How to Get Selected

Practical Tips

Build a portfolio of computer vision projects that showcase your ability to deploy models on edge devices. Tailor your resume to highlight keywords like "agentic manufacturing" and "real-time inference". Network with Thingtrax engineers on LinkedIn to gain insider insights.

Common Mistakes to Avoid

Avoid submitting a resume without GitHub links or project details. Do not focus only on academic theory without demonstrating practical application. Ignoring edge computing concepts is a major reason candidates get rejected.

How to Stand Out

Create a video demo of your computer vision model running on an edge device to showcase real-time performance. Write a technical blog post about optimizing AI agents for manufacturing lines. Attend Thingtrax webinars to demonstrate your interest in their mission.

Final Thoughts

Securing the Computer Vision & AI Engineer | Mid Level role at Thingtrax is a transformative step for your career in industrial AI. With the deadline not specified, you have the opportunity to apply now and join a company that is fundamentally changing how factories run. Take action today, build your portfolio, and position yourself as the engineer who will lead the next wave of agentic manufacturing.

Frequently Asked Questions

Q: What is the salary for Computer Vision & AI Engineer | Mid Level at Thingtrax?
A: The estimated salary is PKR 120,000 to PKR 180,000 per month in Lahore.

Q: How competitive is it to get hired at Thingtrax?
A: It is highly competitive due to the company’s VC-backed status and innovative mission, requiring a strong portfolio.

Q: What skills are most important for this role?
A: Key skills include computer vision algorithms, deep learning frameworks, and edge computing expertise.