About us:

At Collablens, one of our focus areas is AI-powered visual inspection solutions for the FMCG and food processing industry, spanning every stage from farm to packaging. Our flagship offering, HectoVision, is an advanced multi-model image analysis platform capable of orchestrating up to 120 concurrent vision models in a seamless cascade pipeline—accurately detecting micron-level contaminants (e.g., hair, foliage) to maintain the highest quality standards.

We are seeking a versatile Engineer who will support our R&D; efforts by contributing to engineering tasks, data gathering, and on-site deployments, helping us accelerate solution rollouts for our 10 key customers. This role is your opportunity to bridge cutting-edge innovation with real-world impact, ensuring HectoVision continues to deliver unmatched quality and performance in the field.

What You’ll Do

- Video Scripting & Data Management: Use tools like FFmpeg,GStreamer etc to automate video capture and processing; download, edit, and manage large volumes of video data on servers, ensuring proper indexing for analytics.
- Multi-Model Edge Device Integration: Set up and optimize edge devices that run multiple computer vision models in parallel, maintaining real-time throughput.
- Hands-On Troubleshooting: Rapidly diagnose and resolve issues in real-time, from camera alignment to edge device configurations or software anomalies.
- Iterative Improvement: Gather on-site feedback, propose enhancements, and ensure HectoVision remains responsive and robust—even as it orchestrates dozens of concurrent models.
- On-Site Collaboration: Travel to our partner’s food processing/packing factory to deploy HectoVision in live production lines.

Who We’re Looking For

- Adaptable & Proactive: Comfortable in a fast-paced environment, eager to learn,



and skilled at taking initiative
- Technical Foundation: Strong understanding of programming (Python, C++, etc.), data structures, and Linux-based development.
- Video & Data Savvy: Able to script workflows (e.g., FFmpeg) for video streams, plus organize large data sets on servers.
- On-Site Builder: Willing to travel frequently to partner facilities for setup, troubleshooting, and optimization.
- Collaborative & Communicative: Effective in working with cross-functional teamsto ensure smooth deployments.
- Detail-Oriented: Consistently upholds high standards of quality, even under tight deadlines or large-scale data challenges.

Basic Qualifications

- Pursuing or holding a Bachelor’s/Master’s degree in Computer Science, Electronics & Telecommunication, or related fields (or equivalent experience).
- Familiarity with Linux for development, testing, and debugging.
- Ability to travel to client factories for in office setup and ongoing support.
- Proven track record of delivering projects on time and within scope.
- Strong verbal and written communication skills.

Good to Have (Not Required)

- Exposure to computer vision libraries (OpenCV, PIL) or AI frameworks.
- Competitive programming or hackathon experience demonstrating problem-solving skills.
- Familiarity with embedded systems or other edge platforms.
- Experience in image/video processing deployments.

Logistics

- Work Setup: On-Site
- Duration: 3-6 months for the initial contract, with potential to transition into a full-time role based on performance and mutual fit.

Our Team:

Our agile five-person team brings extensive experience in Computer Vision, AI, and IoT R&D;, supported by 15 patents and publications. Collectively, we’ve launched 11 products in these domains and, through collaborations with two distributors, have reached 180 deployments worldwide.

📌 Product Integration & Data Management Engineer (Gurugram)
🏢 Menmitsu
📍 Gurugram