Senior Machine Learning Engineer

About FAI

At First American (India), we don’t just build software—we build the future of real estate technology. Our people- first culture empowers bold thinkers and passionate technologists to solve real-world challenges through scalable architecture and innovative design.

If you're driven by impact, thrive in collaborative environments, and want to shape how world-class products are delivered—this is the place for you.

Responsibilities and Duties

As Senior Software Engineer II, you will work closely with the Engineering Manager, Architect, Product Manager and team.

1) What You Will Do

Join the FAMS AI Engineering Team to build secure, scalable AI-powered solutions using Python frameworks like Flask, FastAPI, and Django. You'll work across classical machine learning, NLP (including BERT), and generative AI, deploying models and services via CI / CD pipelines on Azure. Your responsibilities will include building APIs, integrating with blob storage, cognitive services, and message brokers such as RabbitMQ and Azure Service Bus. You'll also leverage Databricks, OpenAI for scalable data processing, model training, and collaborative development.

2) What We’re Looking For

We’re looking for a tech-savvy engineer who’s excited to innovate and solve real-world problems. You should bring :

• Advanced Python skills (OOP, debugging)
• Strong experience in ML, deep learning, and NLP (including transformers like BERT)
• Hands-on exposure to generative AI and prompt engineering
• Familiarity with SQL, Linux commands, CI / CD, and file systems
• Practical experience with Azure services and cognitive APIs
• API and microservices development experience
• Comfort working with message brokers and deployment workflows

3) It’s Exciting Because

You’ll work on cutting-edge AI and NLP solutions that directly impact user experience and business intelligence. Collaborate with cross-functional teams, leverage Azure’s ecosystem, and grow in a tech-forward environment solving meaningful challenges.

Technology Stack & Experience

An ideal candidate should have understanding and hands-on experience with the following technologies :