AI/ML Engineer (IoT sphere)

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 large language models (LLMs).

Technologies

Python, FastAPI, Docker, AWS/Azure, Databricks, Spark, TensorFlow, PyTorch, OpenCV, LangChain & LlamaIndex, OpenAI (CLIP, GPT-4), Vector DBs (Qdrant, Pinecone, Weaviate), YOLO/SAM/SSD, MLflow, DVC, Ray, W&B, TensorBoard, Grafana, Prometheus, Labeling Tools (Label Studio, CVAT)

What You'll Do

• 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

Job 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 Do We Offer

• You will receive a salary starting from 4,200 EUR gross per month.
• Remote work. We respect each employee’s chosen way to work remotely anywhere.
• "Launch for success" package: premium health insurance, monthly lunch vouchers, telecom services for employees and their family members, and more.
• Global teams. The working model in the company is based on working in global multicultural departments and gaining experience from the highest-level professionals.
• International Clients. It is on us to ensure the wide range of Clients you will work with – Innovative start-ups and Fortune 1000 companies in the U.S. and Europe.
• Professional growth opportunity. We created a professional training center including educational programs for developers of any level and live training sessions.
• Unique ideas development. Our internal start up incubator, Innovation Sandbox, helps to materialize ideas, receive support on their realization, and win cash prizes.
• Team spirit. Work in the company is not just about work – team building, celebrations, corporate events, family events and other traditions are an essential part of our culture.

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