AIML | Computer Vision | e-con Systems

Senior AI/ML Engineer Computer Vision

Company: e-con Systems India Private Limited
Job Location: Chennai
Experience: 5+ Years
Working Days: 5 Days a Week
Work Mode: Work from Office (No Hybrid / Remote)

About e-con Systems

e-con Systems is a leading product company specializing in Embedded Vision and Camera Solutions. We design, manufacture, and deliver camera modules, embedded vision kits, and Edge AI solutions used across Automotive, Medical, Industrial, Retail, and Robotics domains.

Website: www.e-consystems.com

Job Summary

We are looking for a highly skilled and hands-on Senior AI/ML Engineer Computer Vision with strong expertise in Computer Vision, Deep Learning, and Edge AI.

The ideal candidate should have proven experience in developing real-time Computer Vision solutions and taking AI/ML models from algorithm development and training through optimization and production deployment on edge or embedded platforms.

Responsibilities:

• Algorithm Development: Design, implement, and optimize computer vision and deep learning algorithms for object detection, segmentation, 3D reconstruction, OCR, anomaly detection, and pose estimation
• End-to-End Pipeline Ownership: Develop and maintain robust vision pipelines, encompassing data ingestion, preprocessing, inference, post-processing, and system integration
• Model Lifecycle Management: Train, fine-tune, evaluate, and deploy deep learning models (CNNs, Transformers, etc.) using frameworks like PyTorch, TensorFlow.
• Performance Optimization: Optimize models for edge deployment using techniques such as quantization, pruning, and leveraging inference engines like TensorRT, ONNX, or OpenVINO to meet strict latency and power constraints
• Embedded Integration: Collaborate with embedded engineers to port and optimize vision software for various hardware platforms (SoCs, GPUs, NPUs)
• Research & Innovation: Stay current with the latest research in computer vision and machine learning, rapidly prototyping new techniques to enhance our capabilities
• Software Engineering Best Practices: Write clean, documented, and maintainable code, and actively contribute to internal libraries, tools, and code reviews.

Essential Skills & Must-Have Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of hands-on industry experience in Computer Vision, AI/ML, Machine Learning, or Deep Learning.
• Strong programming proficiency in Python, C++, and OpenCV.
• Strong hands-on experience with Machine Learning algorithms and Deep Learning.
• Experience in Object-Oriented Programming (OOP), software architecture, and layered architecture.
• Strong understanding of CNNs, Transformers, Deep Learning model architectures, and neural network layers.
• Deep practical experience with at least one major Deep Learning framework; PyTorch is strongly preferred.
• Hands-on experience in Object Detection, Image Segmentation, OCR, Anomaly Detection, Pose Estimation, or 3D Vision.
• Proven experience in developing and deploying AI/ML and real-time Computer Vision models in a production environment.
• Strong understanding of model evaluation, optimization, performance benchmarking, and deployment.
• Experience deploying models on Edge AI or Embedded Devices is a strong advantage.
• Exposure to TensorRT, ONNX, OpenVINO, CUDA, GPUs, NPUs, or SoC platforms will be preferred.

Preferred Candidate Profile

We are looking for candidates who can independently take ownership of the complete AI/ML development lifecycle:

Data Model Development Training Evaluation Optimization Edge Deployment Production

Candidates with experience in Embedded Vision, Edge AI, NVIDIA Jetson, Robotics, Automotive Vision, Industrial Vision, Camera Systems, or AI-enabled products will have an added advantage.

Why Join e-con Systems?

• Work on cutting-edge Embedded Vision and Edge AI products.
• Build solutions for global Robotics, Healthcare, Automotive, Industrial, and AI applications.
• Work with advanced camera technologies, AI/ML, and embedded platforms.
• Be part of a learning-driven engineering culture.
• Opportunity to work on end-to-end product development and real-world AI deployment.

Interested candidates can share their updated resume with: [email removed]