Research Scientist / Research Engineer (Computer Vision & Generative

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Experience: 3+ yrs

Location: Chennai, Tamil Nadu, India

As a Research Scientist / Research Engineer (Computer Vision & Generative), you will drive cutting-edge AI research focused on computer vision and generative modeling, delivering novel solutions that push the boundaries of visual perception and synthesis. You will collaborate with cross-functional teams to transform research insights into production-ready applications, ensuring scalability, robustness, and real-world impact. Your role will involve designing experiments, analyzing results, and iterating on models to achieve state-of-the-art performance in diverse visual tasks. You will also publish findings in top-tier conferences and foster a culture of continuous learning and technical excellence within the organization.

Requirements

• Design, implement, and benchmark advanced computer vision algorithms for image understanding and generation.
• Develop and refine diffusion models and other generative frameworks tailored to specific application domains.
• Conduct rigorous experimental evaluation and ablation studies to validate model performance.
• Collaborate with software teams to integrate research prototypes into scalable production pipelines.
• Publish research papers and present at leading conferences to establish thought leadership.
• Mentor junior researchers and engineers, fostering a collaborative research environment.
• Identify and prioritize high-impact research problems that align with business objectives.
• Monitor emerging trends in AI and propose innovative solutions leveraging new techniques.
• Maintain comprehensive documentation of research methodologies and codebases.
• Participate in cross-disciplinary projects to merge vision, NLP, and multimodal AI research.
• PhD or master’s degree in Computer Science, Electrical Engineering, or related field with a focus on computer vision or generative modeling.
• 3+ years of experience in AI research or engineering, preferably in a production setting.
• Proficiency with diffusion models, GANs, VAEs, and related generative architectures.
• Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Demonstrated ability to publish at least one paper in a top-tier CV or AI conference.
• Deep understanding of image processing pipelines and large-scale training optimizations.
• Experience with cloud GPU workloads and distributed training frameworks.
• Excellent communication and teamwork skills, capable of translating complex ideas to diverse audiences.
• Proven track record of delivering end-to-end AI solutions from research to deployment.
• Passion for staying ahead of industry trends and continuously expanding technical horizons.