Senior Machine Learning / Computer Vision Engineer

Preventai is a fast-growing Swedish AI company transforming how surveillance infrastructure is used in retail. Our platform connects to existing camera systems and applies advanced Video Language Models (VLMs) to detect incidents and generate real-time alerts. We work with some of Sweden’s largest grocery chains and are expanding our team to support increasingly complex networked environments.

About the Role

at least 2-4 years of experience

Responsibilities

• Develop, optimize, and deploy Computer Vision, Tracking, Action Recognition, and VLM models to production.
• Build and manage real-time video pipelines using

  RTSP

  and

  FFmpeg

  for multi-stream handling.
• Deploy AI inference services on

  GCP / Cloud / local server

  infrastructure with auto-scaling and GPU acceleration.
• Build scalable inference services using

  Flask / FastAPI, Docker, and REST APIs.

• Work with

  CUDA

  , GPU optimization,

  TensorRT/ONNX

  for real-time model performance.
• Implement model optimization techniques (quantization, pruning, batching, async pipelines).
• Build robust

  multi-threaded / multi-process systems

  for high-throughput streaming.
• Debug and profile performance bottlenecks across model, networking, and system layers.
• Collaborate across research and engineering teams to deliver production-ready solutions.

Required Skills

• Strong programming skills in 

  Python

  .
• Hands-on experience with 

  model deployment

   in real-time applications.
• Expertise in 

  RTSP streaming pipelines

   (decoding, multi-camera ingest, latency optimization).
• Strong experience with 

  FFmpeg

   for real-time video manipulation.
• Cloud deployment experience with 

  GCP

   (firestore / Cloud Run / GPU instances / Storage).
• Strong knowledge of 

  CUDA

  , GPU acceleration, memory optimization.
• Experience building APIs using 

  Flask / FastAPI

  , and creating robust 

  REST API

   services.
• Proficiency with 

  Docker

   and container-based deployments.
• Strong 

  debugging, profiling, performance optimization

   experience.
• Experience with 

  multithreading / multiprocessing

  .
• Experience working with 

  tracking models, action recognition models, or VLMs

  .

Nice to Have

• Experience with

  TensorRT, ONNX Runtime, Triton Inference Server, TorchServe.

• Real-time video streaming technologies (RTSP,HLS, WebRTC).
• CI/CD automation and DevOps best practices.

What We Offer

• Work in a high-impact role within a Swedish funded AI company
• Direct influence on how cutting-edge AI systems are deployed across real-world infrastructures
• Access to a highly technical team with expertise in AI, computer vision, and systems engineering
• Competitive compensation and benefits
• Remote-first setup with occasional on-site fieldwork
• Opportunity to define and scale infrastructure practices from the ground up

How to Apply

Please apply through LinkedIn, and please contact us at Preventai through LinkedIn in case you have any questions.