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We are looking for an AI Engineer (Computer Vision) to design and deploy intelligent video analytics solutions using CCTV feeds . The role focuses on analyzing real-time and recorded video to extract insights such as attention levels, engagement, movement patterns, posture, and overall group behavior. You will work closely with data scientists, backend teams, and product managers to build scalable, privacy-aware AI systems. Key Responsibilities - Develop and deploy computer vision models for CCTV-based video analytics - Analyze gaze, posture, facial expressions, movement, and crowd behavior - Build real-time and batch video processing pipelines - Train, fine-tune, and optimize deep learning models for production - Convert visual signals into actionable insights & dashboards - Ensure privacy, security, and ethical AI compliance - Improve model accuracy, latency, and scalability - Collaborate with engineering teams for end-to-end deployment Required Skills - Strong experience in Computer Vision & Deep Learning - Proficiency in Python - Hands-on experience with OpenCV, TensorFlow, PyTorch - Knowledge of CNNs, object detection, tracking, pose estimation - Experience with video analytics & CCTV data - Understanding of model optimization and deployment Positive to Have - Experience with real-time video streaming (RTSP, CCTV feeds) - Familiarity with edge AI or GPU optimization - Exposure to education analytics or surveillance systems - Knowledge of cloud deployment (AWS/GCP/Azure) Skills - Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Image Processing and Cloud Computing .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.