WE ARE HIRING | AI/ML ENGINEER COMPUTER VISION & VIDEO INTELLIGENCE
dwarfeye labs- Posted 22 hours ago
- Be among the first 20 applicants
Job Description
Are you passionate about Artificial Intelligence, Computer Vision, Deep Learning, and building real-world AI solutions
DwarfEye Labs is expanding its AI/ML team and looking for a hands-on AI/ML Engineer with strong expertise in Computer Vision and Video Analytics to build, optimize, deploy, and continuously improve our AI models.
This is an opportunity to work on real-world video intelligence solutions that transform existing CCTV camera feeds into actionable business intelligence.
Location: Chennai, Tamil Nadu
Experience: 2–3 Years
Role: AI/ML Engineer – Computer Vision & Video Intelligence
What You'll Do
Build Computer Vision Models – Design, develop, train, evaluate, and optimize AI/ML models for real-world video intelligence use cases.
Develop Video Analytics Solutions – Work on applications involving people detection, tracking, behavior analysis, footfall, queues, theft detection, staff analytics, safety, compliance, and other business intelligence use cases.
Model Training & Optimization – Work with datasets, annotation, augmentation, training, validation, performance evaluation, retraining, and model optimization.
Production & Edge Deployment – Convert trained models into reliable real-time inference pipelines and optimize them for edge computing and resource-constrained environments.
Improve Existing AI Solutions – Analyze model performance in real-world environments and continuously improve accuracy, stability, inference performance, and scalability.
Team Coordination & Mentoring – Guide and support AI/ML team members, review their work, help solve technical challenges, and contribute to effective execution of AI projects.
R&D and Innovation – Explore new Computer Vision techniques, architectures, tools, and approaches that can strengthen DwarfEye's AI capabilities.
Cross-Functional Collaboration – Work closely with the development and product teams to convert business requirements into practical AI-powered solutions.
What We're Looking For
2–3 years of hands-on experience in AI/ML, preferably with strong exposure to Computer Vision and Video Analytics.
Strong practical experience with Python, OpenCV, PyTorch and/or TensorFlow.
Experience with YOLO or similar object detection frameworks, object tracking, image/video processing, and model training.
Good understanding of deep learning, computer vision concepts, model evaluation, and optimization.
Experience working with real-world datasets, annotation, training, validation, and model improvement.
Understanding of real-time inference and edge AI deployment will be an advantage.
Ability to take ownership of AI modules from development through deployment and improvement.
Strong problem-solving skills and willingness to work on challenging real-world Computer Vision problems.
Ability to guide, coordinate, and mentor a small AI/ML team.
Most importantly, someone who is hands-on, curious, responsible, and passionate about building AI that actually works in the real world.
Why Join DwarfEye Labs
Work on real-world AI & Video Intelligence applications
Build Computer Vision solutions across multiple business verticals
Work with real-time video analytics and edge AI
Take ownership of AI models from data → training → optimization → deployment
Get the opportunity to grow into a technical leadership role
Be part of an emerging AI & Video Intelligence company and contribute directly to its technology and product growth.
Interested in Building AI THAT NEVER BLINKS
Send your CV to : [Confidential Information]
Call: +91 77 0882 0882
If you are excited about *omputer Vision, Video Intelligence, and solving real-world problems with AI , we would love to hear from you.
Join DwarfEye Labs. Build the future of Video Intelligence.
AI THAT NEVER BLINKS
#DwarfEyeLabs #WeAreHiring #AIMLEngineer #ComputerVision #MachineLearning #DeepLearning #VideoAnalytics #ArtificialIntelligence #ChennaiJobs #AIJobs #EdgeAI #TechJobs
More Info
Key Skills
object detection frameworks
model evaluation
YOLO
model training
model optimization
