Ai Ml Engineer

Key Responsibilities

• Design, train, and fine-tune

  computer vision models

  (YOLO, R-CNN, SSD, or equivalent) for real-time detection and classification tasks.
• Implement and optimize

  object detection, segmentation, and image-processing pipelines

  .
• Develop

  back-end services

  (APIs, microservices) to deploy models into production.
• Build

  front-end dashboards and interfaces

  using React or Vue.js for monitoring, visualization, and reporting.
• Integrate computer vision solutions with enterprise applications (MES, ERP, IoT, or other systems).
• Ensure

  real-time performance and scalability

  across multiple camera feeds.
• Work with databases (SQL/NoSQL) to manage, annotate, and store large-scale image/video datasets.
• Deploy solutions on

  on-premise servers or edge devices

  , with GPU optimization where required.
• Stay updated on the latest advancements in

  computer vision and deep learning architectures

  .

Required Qualifications & Skills

• Bachelors/Master’s degree in

  Computer Science, AI, Data Science, or related field

  .
• Strong expertise in

  Python programming

  and libraries (NumPy, Pandas, OpenCV, PyTorch, TensorFlow).
• Hands-on experience with

  YOLO, R-CNN, SSD, or other open-source detection/segmentation architectures

  .
• Proficiency in

  front-end frameworks

  (React or Vue.js) for building user interfaces.
• Experience in

  back-end development

  (FastAPI, Flask, Django, or Node.js).
• Knowledge of

  database systems

  (SQLite, PostgreSQL, MySQL, or MongoDB).
• Familiarity with

  Docker, Git, and CI/CD pipelines

  .

multi-camera, high-resolution video streams