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Brillio

Technology consulting for AI-driven digital transformation

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of experience.
  • Strong experience in data science, Python, and SQL.
  • Hands-on experience with Snowflake.
  • Experience with Snowpark and Snowflake data platforms.
  • Exposure to Snowflake Cortex AI, including Cortex Analyst, Cortex Search, and Cortex Agents.
  • Strong understanding of generative AI, large language models, retrieval-augmented generation, and prompt engineering.
  • Experience with agentic AI or AI agents.
  • Knowledge of vector search, embeddings, and large language model integration.
  • Experience with machine learning algorithms, model development, and deployment.
  • Experience integrating AI and machine learning solutions with enterprise data platforms.
  • Experience working on production-grade data science and generative AI or agentic AI solutions, leveraging Snowflake or Cortex capabilities to build intelligent data-driven applications.

Desired Qualifications

  • Immediate availability to a 30-day notice period is preferred.

About the Company

Brillio

Technology consulting for AI-driven digital transformation

Brillio helps organizations move their systems and processes into the digital world by providing technology consulting and customized AI and cloud-based solutions. The company works with large clients, including many Fortune 500 firms, and has a strong emphasis on the healthcare sector. Its offerings include designing and building tailored software and workflows that improve efficiency, security, and scalability, and enabling real-time, AI-powered interactions through generative AI tools. Customers typically engage Brillio through long-term support contracts or project-based work, paying for both advisory services and the implementation of technology solutions. Brillio’s goal is to help clients become ‘generative enterprises’—organizations that leverage AI and cloud technologies to continuously transform operations and user experiences, stay competitive, and drive measurable business outcomes.

Company size
5,001-10,000
Company stage
Late Stage VC
Total funding
Not listed
Headquarters
Dallas, TX
Founded
2014

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