Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more.
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, Apache Spark, TensorFlow, PyTorch, OpenCV, LangChain, LangGraph, LlamaIndex, OpenAI (CLIP, GPT-4), Qdrant, Pinecone, Weaviate, YOLO, SAM, SSD, MLflow, DVC, Ray, W&B, TensorBoard, Grafana, Prometheus, Label Studio, LabelImg, 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
- Good English level
What Do We Offer:
- Platform for flexible benefits
- Free additional health and dental insurance
- Internal and external trainings
- Conferences and events attendance
- Regular meetups
- Corporate Events and Team buildings
- Charity and volunteer activities
- Group Management Program
- Various Discounts
- Internal referral program
If this opportunity excites you, send us your resume!
Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted.
