About the role
We are seeking a talented AI/ML Engineer with a minimum of 3 years of hands-on experience in the AI/ML domain. This exciting prospect, based in India and reporting to the Software Development Manager, is your chance to build AI solutions from the ground up, working alongside the largest global clients in our industry.The ideal candidate will have a robust background in developing and deploying advanced machine learning models and generative AI (GenAI) solutions. You will play a pivotal role in integrating cutting-edge AI/ML capabilities—ranging from GenAI, Agents, ML Models, and Prompting Techniques to OCR, Vector Databases, and Retrieval Augmented Generation (RAG)—into our platform. Experience with AWS infrastructure, including AWS SageMaker and Bedrock, is considered a plus. More importantly, we’re looking for some who is eager to experiment, innovate, and delivery impactful AI-driven solutions.

What you'll do
- Lead AI Innovation in Fintech:

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- Design, develop, and deploy advanced AI/ML solutions that power the next generation of financial technology.




- Implement GenAI, agent-based systems, and sophisticated ML models to enhance our platform capabilities.
- Own the Full AI Lifecycle:

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- Design and implement robust data models that support AI/ML initiatives.
- Architect data pipelines to ensure seamless data integration and processing as part of the solution.

o Collaborate with cross-functional teams to integrate AI/ML functionalities into our multi-product, multi-issuer platform.

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- Develop scalable machine learning pipelines and data processing workflows.
- Scale AI in the Cloud:

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- Build, test, and optimize AI models on various cloud platforms; AWS experience (including SageMaker and Bedrock) is a bonus.
- Ensure robust deployment practices and maintain the performance and scalability of AI systems.
- Specialized Projects:

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- Architect and implement an Agentic Framework tailored specifically for the needs of Financial Advisors, ena

📌 AI/ML Engineer (India)
🏢 Luma Financial Technologies
📍 India