R&D Engineer (Computer Vision & Generative AI)

Responsibilities

• Research, design, and develop computer vision and deep learning models for image and video understanding.
• Work on Generative AI systems, including:
• a. Large Language Models (LLMs)
• b. Vision-Language Models (VLMs)
• c. Multimodal and generative architectures.
• Develop and own the full AI lifecycle:
• a. Data preparation and experimentation
• b. Model training and fine-tuning
• c. Evaluation, optimization, and benchmarking
• d. Deployment to local, edge, or cloud environments.
• Collaborate with cross-functional teams and clearly communicate progress and results.

Requirements

• Degree in Electronic/Computer Engineering/Computer Science/AI or related discipline
• Strong foundation in Computer Vision and Deep Learning.
• Hands-on experience with Generative AI, including LLMs, VLMs, or related multimodal models.
• Experience in:
• a. Model training and fine-tuning with real-world datasets
• b. Deployment and inference optimization
• Strong programming skills in Python, C++
• Solid understanding of software engineering principles and application development.
• Ability to work independently, manage projects end-to-end, and learn new technologies quickly.
• 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.

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Company Intel

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