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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 large language models (LLMs).
Job Responsibility:
Design, develop, and validate smart video search and summarization systems
Build and optimize ML pipelines for object detection, event tagging, and descriptive alerts
Collaborate with firmware teams to implement automated model testing on target devices
Work with video datasets to curate, label, and annotate events for AI training
Integrate LLMs to contextualize visual events and enable semantic grouping
Maintain high-quality production-grade code for APIs and ML services
Partner with product and engineering teams to ship AI-driven features for intelligent notifications
Implement monitoring, observability, and continuous evaluation for deployed models
Requirements:
5+ years of experience in ML/AI engineering
Strong proficiency in Python and experience with ML frameworks such as TensorFlow and PyTorch
Proficient in building distributed workflows using Apache Spark or Databricks
Hands-on experience in cloud environments (AWS and/or Azure)
Familiarity with FastAPI, Docker, and CI/CD practices
Background in computer vision, including object detection and tracking (YOLO, SAM, SSD)
Experience working with annotation tools (Label Studio, CVAT, etc.) and dataset management
Understanding of LLMs, transformers, and generative AI techniques
experience with LangChain or similar orchestration frameworks
Proficiency in building scalable, fault-tolerant ML pipelines with monitoring/logging
Familiarity with event aggregation and generating natural language summaries from video
English level: B1+
What we offer:
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
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