We are looking for a passionate ML/CV engineer who is eager to build AI-powered solutions using Deep Learning and Computer Vision techniques. You will work closely with senior data scientists and engineers to develop, train, evaluate, and deploy computer vision models for real-world computer vision applications. This role offers an excellent opportunity to gain hands-on experience with up-to-date deep learning frameworks, production AI systems, and large-scale datasets.

Key Responsibilities
Build Computer Vision Models: Develop and improve models for: Image Classification, Object Detection, Segmentation, Tracking, ViT, VLM, etc.
Data Preparation and Analysis: Collect, clean, label, and analyse image datasets. Perform exploratory analysis on image data. Identify data quality issues and improve dataset reliability.
Model Training and Evaluation: Train and fine-tune deep learning models using contemporary frameworks. Evaluate model performance using appropriate metrics. Conduct experiments and benchmark different approaches.
Research and Innovation: Read and implement research papers and open-source solutions. Stay updated with advancements in Computer Vision and AI. Experiment with new architectures and techniques.




Production Support: Collaborate with engineering teams to deploy and monitor models. Assist in optimizing model performance for production environments. Support API integration and model inference pipelines.
Documentation and Collaboration: Document experiments, findings, and model performance. Work closely with product, engineering, and senior data science teams.

Experience/Education BE / BTech / ME / MTech / in Computer Science, Electronics & Electrical Engineering, Artificial Intelligence, Robotics or related fields.

1 to 3 years of experience in Computer Vision, AI, or Machine Learning.

Technical Skills
Strong understanding of Machine Learning and Deep Learning fundamentals.
Positive knowledge of Computer Vision concepts.
Strong programming proficiency in Python, C++ and OpenCV.
Deep, practical experience with at least one major deep learning framework: Pytorch, Tensorflow, etc.
Robust analytical and debugging skills.
A solid foundation in math particularly linear algebra, calculus, probability/statistics is vital.
Curiosity to learn and explore new technologies.

📌 Walk In Project Engineer Cv Chennai
🏢 e-con Systems
📍 Chennai