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Company Background

Our client is a global leader in smart access solutions, offering top-tier connected products such as cameras, locks, card readers, garage door openers, and gates. With one of the largest IoT install bases worldwide, their innovative ecosystem supports millions of homes and businesses with secure, real-time digital access. The company continues to drive the Smart Home industry forward through AI-powered advancements in video analytics, object detection, and contextual automation.

Project Description

This AI-driven initiative focuses on improving the client's smart video ecosystem by enhancing the AI foundation, refining validation scripts for generative models, addressing discrepancies in object detection performance, and automating model testing across embedded devices. A major component involves curating and annotating video data to fine-tune models for smart search and descriptive notifications. The long-term objective is to develop intelligent systems capable of summarizing video events and generating context-aware alerts using a combination of computer vision and LLMs.

Technologies

  • Python
  • RESTful APIs
  • Microservices

What You'll Do

  • Design and implement rules/decision engine in Python;
  • Build logic to ingest rule definitions from CSV or similar tabular formats and interpret “given” conditions and corresponding “action” outputs to execute rules deterministically at runtime;
  • Implement decision-table semantics, including ordered rule evaluation, conditional branching and correct handling of overlapping or missing conditions;
  • Ensure rules can be updated, validated, and tested safely;
  • Maintain high performance and reliability for real-time rule evaluation;
  • Collaborate with product, backend, and AI/ML teams to align rule logic with business needs;
  • Write robust, testable, and maintainable Python code;

Job Requirements

  • 5+ years of strong Python backend development experience;
  • Strong engineering mindset with focus on correctness, maintainability, and long-term extensibility;
  • Experience building production-grade RESTful APIs and microservices;
  • Ability to write clean, readable, maintainable, and well-structured code;
  • Strong understanding of conditional logic, control flow, and deterministic execution in backend systems;
  • Ability to understand decision-table-based logic and implement similar behavior based on existing examples or specifications;

Nice to have

  • Prior experience building a rules or decision engine, including working with decision tables, DMN, or similar rule modeling approaches;
  • Familiarity with existing rules engines (e.g. Drools or custom implementations);

What Do We Offer

The global benefits package includes:

  • Technical and non-technical training for professional and personal growth;
  • Internal conferences and meetups to learn from industry experts;
  • Support and mentorship from an experienced employee to help you professional grow and development;
  • Internal startup incubator;
  • Health insurance;
  • English courses;
  • Sports activities to promote a healthy lifestyle;
  • Flexible work options, including remote and hybrid opportunities;
  • Referral program for bringing in new talent;
  • Work anniversary program and additional vacation days.

Didn't find anything suitable?

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