Senior Machine Learning Engineer

Who we are:

Welcome to Archipelago, where we're redefining the landscape of commercial property insurance with our AI-powered data network. We believe in the power of accurate information to drive meaningful business decisions and offer solutions to generate accurate information as easily and efficiently as possible. By connecting brokers, owners, and insurers, we empower our customers to navigate the complexities of the property insurance and risk management processes with confidence.

Archipelago was founded in 2018 and serves many of the world’s largest property brokers and their clients, representing over 500 of the worlds largest and most dynamic commercial property portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital.

Join us at Archipelago and be part of a team dedicated to transforming the commercial property insurance industry. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers.

If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless.

Note: Preferred candidates to be located in Noida, India. You will be required to schedule a portion of your working hours to coincide with our New York-based team, specifically from 9:00 AM to 12:00 PM Eastern Standard Time.

Who you are:

Archipelago is seeking a Senior Machine Learning Engineer to join our growing labs team to work on Gen AI systems. We are looking for an engineer who is comfortable with working with full stack development. From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people.

Responsibilities:

• Designing and developing machine learning and deep learning systems
• Building RAG pipelines with LLMs
• Building Agentic AI applications
• Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback
• Implementing appropriate ML algorithms
• Orchestration of long running jobs for data extraction
• Building UIs to test & evaluate results of ML experiments
• Translate research papers into high-quality, production-ready code
• Ship code to production frequently
• Coach and mentor more junior engineers

What Success Looks like in 12 months:

• Built multiple use-cases that are powered by Agentic AI
• Built models that implement pattern recognition and data extraction
• Design and implemented a framework for back testing the results of ML experiments
• You are part of Archipelago’s India based AI team

Qualifications:

• 4+ years experience as a Machine Learning Engineer or similar role
• Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex)
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python
• Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost)
• Knowledge of how to deploy and maintain ML services in a production environment
• Experience in designing and deploying feature engineering pipelines in production
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

Bonus Points:

• Experience building data ingestion pipelines
• Experience with vector databases (e.g. qdrant, Pinecone)
• Familiarity with orchestration frameworks like Luigi or Flyte
• Familiarity with gradio, streamlit or Dash
• GOlang and JavaScript is a plus
• Experience building applications for the insurance industry

Benefits:

We offer excellent benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance.

*All benefits are subject to change at management’s discretion.