R&D Engineer (Computer Vision & Generative AI)

Responsibilities:1)    Research, design, and develop computer vision and deep learning models for image and video understanding. 2)    Work on Generative AI systems, including: a.    Large Language Models (LLMs)b.    Vision-Language Models (VLMs)c.     Multimodal and generative architectures.3)    Develop and own the full AI lifecycle: a.    Data preparation and experimentationb.    Model training and fine-tuningc.     Evaluation, optimization, and benchmarkingd.    Deployment to local, edge, or cloud environments.4)    Collaborate with cross-functional teams and clearly communicate progress and results.Requirements:1)    Degree in Electronic/Computer Engineering/Computer Science/AI or related discipline2)    Strong foundation in Computer Vision and Deep Learning.3)    Hands-on experience with Generative AI, including LLMs, VLMs, or related multimodal models.4)    Experience in:a.    Model training and fine-tuning with real-world datasetsb.    Deployment and inference optimization5)    Strong programming skills in Python, C++6)    Solid understanding of software engineering principles and application development.7)    Ability to work independently, manage projects end-to-end, and learn new technologies quickly.8)    Strong problem-solving, communication, and teamwork skills.Preferred / Added Advantages:- Experience with Pytorch / TensorFlow, OpenCV, Hugging Face ecosystem.- Exposure to Video models, Temporal modelling, or Multimodal transformers.- Experience with cloud, edge, or on-device deployment.- Familiarity with Docker, REST APIs, FastAPI/Flask, or similar frameworks.- Prior experience with:o   Publications (journals, conferences)o   AI competitions (e.g., Kaggle, CV challenges)o   Open-source contributions or research prototypes.