About the role
InsuranceDekho is hiring AI Engineers to build and deploy AI/ML models for real-world business problems. The role requires strong Python, machine learning, and data science fundamentals, along with an understanding of modern AI technologies such as LLMs, NLP, and Generative AI. HOW TO APPLY: Apply through the Google Form.
Responsibilities
- Build AI and machine learning models for real-world business problems.
- Deploy AI/ML models into production environments.
- Apply machine learning and data science techniques to solve business problems.
- Work with modern AI technologies and develop practical AI solutions.
- Analyze problems and develop effective, data-driven solutions.
Requirements
- Strong Python programming skills.
- Strong fundamentals in machine learning and data science.
- Good understanding of AI concepts and techniques.
- Experience with Large Language Models (LLMs) is a plus.
- Experience with Natural Language Processing (NLP) is a plus.
- Experience with Generative AI is a plus.
- Strong problem-solving and analytical skills.
Benefits
- Opportunity to work on real-world AI and machine learning problems.
- Hands-on experience building and deploying AI/ML models.
- Exposure to LLMs, NLP, and Generative AI technologies.
- Opportunity to work on impactful business use cases.
- Learning and career growth opportunities in AI and machine learning.
Required Skills
Frequently Asked Questions
What is the salary for AI Engineer?
The listed salary for AI Engineer at InsuranceDekho is CTC: 10–30 LPA.
Where is this AI Engineer role located?
This position is based in Gurgaon (Not specified).
How do I apply for AI Engineer at InsuranceDekho?
Apply directly through the application link on this HireDoor job page for AI Engineer at InsuranceDekho.
What are the key benefits for AI Engineer?
Key benefits include: Opportunity to work on real-world AI and machine learning problems.; Hands-on experience building and deploying AI/ML models.; Exposure to LLMs, NLP, and Generative AI technologies.; Opportunity to work on impactful business use cases.; Learning and career growth opportunities in AI and machine learning..