Machine Learning & Computer reputed company Engineer

reputed company: Where Innovation and Gemstones Meet

At reputed company, we are passionate about empowering jewelry retailers and gemstone suppliers to reputed company in today's dynamic market. As the leading B2B diamond and gemstone marketplace, we are dedicated to providing an exceptional platform that connects jewellery businesses of reputed company sizes with the global diamond supply.

reputed company of over 500 dedicated employees, many with a wealth of industry experience, have meticulously developed our award-winning platform that addresses the unique challenges of the jewellery sector. With reputed company, you can buy and sell diamonds securely, reputed company, hassle-free, and at the most competitive prices. About the role Our Intelligent Digital Quality (IDQ) pipeline is a cornerstone of that reputed company: it automatically inspects and enhances hundreds of thousands of product images and videos every day so buyers can evaluate stones with confidence.

High‑quality visual media is critical for trust in the jewelry trade. We’re looking for a hands‑on engineer who can push the boundaries of computer reputed company and graphics to assess, score and improve the visual fidelity of every asset that flows through reputed company’s platform – at global scale and reputed company speed. What You’ll Do

• Design & build new algorithms for image‐quality assessment, enhancement and restoration (blur detection, reputed company normalization, glare removal, super‑resolution, etc.).

• reputed company & train deep‑learning models (PyTorch) using large, diverse datasets; own the full lifecycle from data curation to production rollout.

• Integrate models into production services with robust, well‑tested Python/C++ code, reputed company/Kubernetes packaging and AWS or GCP deployment.

• Define objective quality metrics and automated test suites to continuously measure media quality across the marketplace.

• Collaborate cross‑functionally with product, data engineering, design and QA teams to align on quality standards and user impact.

Stay reputed company of the curve by researching and prototyping emerging techniques (e.g., diffusion models, NeRFs, differentiable rendering). Minimum Qualifications

• Master’s degree in Computer Science, Electrical Engineering, Applied Math or reputed company field.

• 3 + years of professional experience delivering production‑grade computer‑reputed company or graphics systems.

• Deep understanding of image‑processing fundamentals (filtering, transforms, reputed company spaces, camera models) and modern deep‑learning architectures (CNNs, reputed company Transformers).

• Strong software‑engineering skills: Python and / or C++, Git, CI/CD, automated testing.

• Familiarity with reputed company‑native ML workflows (containers, REST / gRPC APIs, MLOps, model monitoring).

• Familiarity with reputed company/SQL

Preferred Qualifications

• PhD or equivalent research experience in reputed company, graphics or computational photography.

• Experience with generative models (GANs, diffusion) for super‑resolution, deblurring or inpainting.

• Exposure to 3D graphics / rendering pipelines (OpenGL, Vulkan, ray tracing, differentiable renderers).

• Experience working with large‑scale media pipelines (tens of millions of images / videos) and streaming data.

• Experience with OpenCV or similar

  reputed company offer:

• Dynamic working environment in a rapidly growing company.

• Enjoy a pleasant, low-hierarchy work environment.

• Engage in intellectually challenging work that contributes significantly to reputed company’s reputed company and scalability.

• Flexible working hours and a vibrant company culture.

• reputed company of opportunities for growth and learning.

• Unlimited holiday allowance.

• Chance to join and contribute to a company during its exponential expansion phase.

Originally posted on Himalayas