AI/ML Engineer, FinTech

About the Role

TimeTrust is a global longevity-finance company building AI-powered technology designed to help people’s retirement savings last as long as they do. We are expanding our India team and looking for an AI/ML Engineer to join us.

Key Responsibilities

• Design, build and deploy machine learning models for financial forecasting, longevity analytics and risk modelling
• Build LLM-powered tools for customer support, document processing and financial education
• Develop anomaly and fraud-detection systems
• Work with data engineers to build reliable pipelines on AWS / GCP
• Partner with actuarial, product and compliance teams in the USA and Europe
• Monitor, test and improve model performance in production
• Write clear documentation and share learnings with the team

Requirements & Tech Stack

• Experience with, or strong interest in, LLMs, NLP and generative AI
• Clear written and spoken English for collaboration with international teams
• Freshers with strong projects, internships, Kaggle work or GitHub portfolios are encouraged to apply

Nice to have

• Experience in fintech, insurance, banking or actuarial work
• Familiarity with time-series forecasting or survival analysis
• MLOps experience (Docker, Kubernetes, MLflow, CI/CD)
• Contributions to open-source projects or published research

What you'll do

• Design, build and deploy machine learning models for financial forecasting, longevity analytics and risk modelling
• Build LLM-powered tools for customer support, document processing and financial education
• Develop anomaly and fraud-detection systems that protect members and the platform
• Work with data engineers to build reliable pipelines on AWS / GCP
• Partner with actuarial, product and compliance teams in the USA and Europe
• Monitor, test and improve model performance in production
• Write clear documentation and share what you learn with the team

What we're looking for

• Experience with, or strong interest in, LLMs, NLP and generative AI
• Clear written and spoken English for collaboration with international teams
• Freshers with strong projects, internships, Kaggle work or GitHub portfolios are encouraged to apply