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Job Title: Data Scientist

Location: Mumbai, India

Company: International Gemological Institute (IGI)

Role Overview

We are looking for an experienced Data Scientist with a strong background in computer vision,

optimization, and machine learning to join our team.

In this role, you will help design and implement AI-driven models that improve the accuracy,

efficiency, and scalability of gemstone grading and certification. You’ll work at the intersection

of image analytics, optical data processing, and operational optimization.

Key Responsibilities

  • Collaborate with data engineers and domain experts to develop and maintain robust data

pipelines for large-scale image and sensor datasets.

  • Conduct exploratory data analysis and apply statistical modeling to derive insights that

support R&D and business strategy.

  • Partner with technology teams to integrate models into IGI’s production systems,

ensuring reliability, interpretability, and scalability.

  • Design optimization frameworks for lab workflows, sample routing, and resource

allocation to enhance operational efficiency.

  • Develop and deploy computer vision and image analytics models to analyze and classify

diamonds, gemstones, and jewelry based on optical and photographic data.

  • Build deep learning models (CNNs, Vision Transformers, GANs) for image-based

quality detection, inclusion mapping, color/clarity estimation, and automated grading.

  • Leverage AI and data-driven insights to improve grading consistency and reduce human

subjectivity.

  • Stay updated on the latest advancements in AI for imaging, optimization, and gemology,

and proactively propose innovations.

Required Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics,

Engineering, or related quantitative fields.

  • 3+ years of hands-on experience in machine learning, optimization, and computer vision.
  • Expertise in Python and related frameworks: TensorFlow, PyTorch, OpenCV, and Scikitlearn.
  • Proficiency in optimization techniques (linear/non-linear programming, heuristics, or

constraint-based modeling).

  • Strong analytical and problem-solving abilities, with demonstrated success translating

data-driven insights into business impact.

  • Proven experience with core ML, deep learning architectures for image analysis and

visual inspection.

  • Experience deploying ML models on cloud platforms (AWS, Azure, or GCP).
  • Familiarity with MLOps and version control practices for production-scale AI

deployment.

  • Excellent communication and collaboration skills; ability to partner with technical and

non-technical stakeholders.

Job Type: Full-time

Pay: From ₹600,000.00 per year

Benefits:

  • Provident Fund

Education:

  • Master's (Required)

Experience:

  • machine learning, optimization, and computer vision.: 3 years (Required)

Work Location: In person

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