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.
  
  

• 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.
  
  

• 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.
  
  

• 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.