CIMET provides end-to-end comparison and signup of energy, telecommunication, credit cards and other product plans through its online solution in a B2B and B2C environment. It presently caters to more than 40+ Utilities and Financial Service providers and has over 200+ partners. The online comparison market is extremely crowded in Australia, with most comparators providing a light touch directory solution. CIMET saw this as an opportunity and developed a fully integrated online comparison and signup platform.
On 15 March 2022, CIMET partnered with iSelect who acquired a 49% stake in CIMET Holdings.
Going forward, CIMET will use this investment from iSelect to expand into new products including Credit Cards, Home loans, Car loans, Personal loans, Life Insurance, Health Insurance, Pet Insurance among others. CIMET today has around 200+ team members, across Australia, India and Philippines and will double over the next 2 years.
We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots,
Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.
Key Responsibilities:
- Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms.
- Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes.
- Lead the development of Generative AI solutions, including content generation and automation.
- Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create cutting-edge solutions.
- Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalabili
📌 Solution Architect (Jaipur)
🏢 CIMET
📍 Jaipur