Plan A Technologies is looking for an experienced Computer Vision Architect. In this role, you will be the technical visionary and hands-on lead for our camera-based recognition systems that complement our RFID-powered solutions. You will design, prototype, and scale intelligent vision systems to track game actions, player behaviors, chip movements, and dealer performance across a variety of table games.
Your work will directly contribute to enhancing game security, player analytics, and dealer auditing, helping casinos gain unprecedented transparency and operational excellence. This is a greenfield opportunity to build a computer vision architecture from the ground up—working closely with our RFID engineers, data scientists, product managers, and casino operators. This is an exciting job with room for significant career growth.
Please Note: You must have at least 7+ years of experience in computer vision, with 3+ years in a technical leadership or architecture role to be considered.
JOB RESPONSIBILITY
Design and lead the architecture of vision-based systems for real-time game state recognition (e.g., card dealing, chip movements, hand gestures).
Develop computer vision pipelines combining classical methods and deep learning (e.g., object detection, pose estimation, image segmentation).
Work on multi-camera tracking, camera calibration, and fusion with RFID signal data.
Build edge-based and cloud-optimized models for deployment in high-traffic, low-light casino environments.
Establish data pipelines for collecting and annotating casino video data, leveraging both manual labeling and semi-automated methods.
Collaborate with cross-functional teams to integrate vision with game engines, RFID readers, and player management systems.
Optimize model performance for latency, throughput, and robustness in noisy and variable real-world environments.
Guide junior ML and computer vision engineers through code reviews, mentoring, and system design workshops.
Stay abreast of industry trends (e.g., Vision Transformers, multi-modal AI, synthetic data generation) and apply them where practical.
Experience
Bachelor’s degree in electrical engineering, Electronics Engineering, or a related field required; Master’s degree preferred.
7+ years of experience in computer vision, with 3+ years in a technical leadership or architecture role.
Strong proficiency in Python and one or more deep learning frameworks (e.g., PyTorch, TensorFlow).
Hands-on experience with real-time object tracking, pose estimation, or action recognition.
Demonstrated success building vision models for edge or embedded systems (e.g., NVIDIA Jetson, OpenVINO).
Familiarity with OpenCV, MediaPipe, or custom CUDA acceleration pipelines.
Ability to integrate vision output with structured sensor data (e.g., RFID, IoT).
Experience building vision systems for environments with occlusion, low light, and overlapping objects.
Strong communication skills and ability to work across geographies and disciplines.
Excellent communication skills — fluent in English language (verbal and written).
Must have an organized and analytical working style, and the ability to plan your own work.
Initiative and drive to do great things.
Nice to have:
Experience in casino, gaming, sports analytics, or retail surveillance environments.
Knowledge of reinforcement learning, generative models, or multi-agent tracking.
Familiarity with cloud-to-edge deployment architectures (e.g., AWS Greengrass, Kafka, MQTT).
Fluency in C++ or Rust for low-level camera interfacing or inference acceleration.
About The Company/Benefits
Plan A Technologies is an American software development and technology advisory firm that brings top-tier engineering talent to clients around the world. Our software engineers tackle custom product development projects, staff augmentation, major integrations and upgrades, and much more. The team is far more hands-on than the giant outsourcing shops, but still big enough to handle major enterprise clients.
Read more about us here: www.PlanAtechnologies.com
Location: Gurugram (India). On site.
Great colleagues and an upbeat work environment: Youll join an excellent team of supportive engineers and project managers who work hard but dont ever compete with each other.
Benefits: Vacation, Brand New Laptop, and More: You’ll get a generous vacation schedule and other goodies.
If this sounds like you, wed love to hear from you!
Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together.
Applicants
are
advised to research the bonafides of the prospective employer independently. We do NOT
endorse any
requests for money payments and strictly advice against sharing personal or bank related
information. We
also recommend you visit Security Advice for more information. If you suspect any fraud
or
malpractice,
email us at abuse@talentmate.com.
You have successfully saved for this job. Please check
saved
jobs
list
Applied
You have successfully applied for this job. Please check
applied
jobs list
Do you want to share the
link?
Please click any of the below options to share the job
details.
Report this job
Success
Successfully updated
Success
Successfully updated
Thank you
Reported Successfully.
Copied
This job link has been copied to clipboard!
Apply Job
Upload your Profile Picture
Accepted Formats: jpg, png
Upto 2MB in size
Your application for Computer Vision Architect
has been successfully submitted!
To increase your chances of getting shortlisted, we recommend completing your profile.
Employers prioritize candidates with full profiles, and a completed profile could set you apart in the
selection process.
Why complete your profile?
Higher Visibility: Complete profiles are more likely to be viewed by employers.
Better Match: Showcase your skills and experience to improve your fit.
Stand Out: Highlight your full potential to make a stronger impression.
Complete your profile now to give your application the best chance!