Machine Learning Engineer

About the Role

We are seeking a skilled ML Engineer to join our R&D team. You'll build high-performance backend services with Python and TypeScript, design data pipelines, and deploy AI solutions at scale. This role requires turning complex data challenges into production-ready features that drive real business impact.

About Us

Intelligo is a tech-enabled due diligence platform for global open source research into individuals and companies. We’re a well-funded Series B company with proven product-market fit over a decade. Intelligo is based in Israel with employees in multiple countries and a hub in New York.

Our mission is to empower trust. Some of the most sophisticated institutional investors, investment banks, law firms, and corporations use our AI-powered platform to manage the risk of transacting with new people and businesses. Our platform leverages technology to conduct research quickly, produce in-depth reports, and continuously monitor subjects with speed and accuracy. Combined with an intuitive interface, Intelligo makes ordering and taking delivery of reports easy and hassle-free.

We are looking for a ML engineer with strong development skills to join our R&D team.

What You’ll Do

Build & Scale: Develop and maintain high-performance backend services using Python and TypeScript. You will ensure our inference engines are real-time, scalable, and resilient.

Data Architecture: Design and optimize data pipelines and database schemas. You’ll be responsible for efficient indexing and ensuring data flows smoothly from source to model.

Model & Innovate: Maximize the performance of our existing stack while researching and deploying next-generation frameworks that align with our long-term data strategy.

Drive Business Value: You won't just take requirements—you’ll help define them. You will help identify which business metrics we need to move and engineer the features to get us there.

Technical Requirements

At least 3 years of professional experience

B.Sc in a technical field (CompSci, statistics, math, etc.)

High proficiency in Python and TypeScript. You write clean, testable, and maintainable code.

Backend & Systems: Strong experience with HTTP servers, microservices architecture, and API design.

Database Mastery: Deep understanding of SQL/NoSQL, specifically regarding performance tuning and indexing strategies.

Cloud Infrastructure: Hands-on experience with cloud providers (AWS/GCP/Azure) and containerization (Docker/Kubernetes).

Pragmatic AI: Experience with traditional ML libraries (Scikit-Learn, Pandas) and an understanding of how to move features from a notebook into a production environment.

Who You Are

Analytical: You bring a sharp analytical lens to every problem, balancing deep-dive technical work with a solid grasp of the high-level goals

Business-Oriented: You spend time understanding the problem space and the nuances of the data content to engineer the right features

Performance-Obsessed: You thrive on optimizing for low-latency and high-throughput.

Quality-Driven: You believe that a model is only as good as the production code surrounding it.

Why Join Us?

No Hype, Just Impact: We focus on solving real-world problems with proven tech

Engineering First: We value technical excellence and give you the tools and autonomy to build things the right way.

Scalable Challenges: Work on systems that handle real-time inference at scale.