Computer Vision Engineer

7 days ago


Bengaluru, Karnataka, India MLOPS SOLUTIONS PRIVATE LIMITED Full time

Experience :

years of overall experience in the delivery of end-to-end analytical solutions (analyze, design, implement, test, and deploy) and implementation of AI and Advanced Analytics projects for Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries.


  • Proposed, Designed, developed, deployed, and maintained at least a couple of data science models. (Real world projects).
  • Experience in leading a team and training young data scientists.
  • Good understanding of the AI ecosystem and capabilities
  • 10+ years of work in building industrial computer vision applications using AI.
  • Handson and strong project experience in developing computer vision applications using Framework and

Image Libraries:
Open CV, TensorFlow, Keras, Scikit-image, and Pytorch.

  • Knowledge and handson experience with coding different object detection neural network architectures such as CNN, R-CNN, Fast R-CNN, Faster R-CNN, SSD, and YOLO.
  • Experience in life cycle management of AI applications from concept, build, deployment, and management.
  • Handson experience with AI frameworks or libraries like TensorFlow, Keras, Scikit, Pytorch ... etc.
  • Exposure to data transformation and data structuring as part of model building
  • Building simple yet bestfit solution design or logic design for complex data challenges or industry use cases.
  • Handson experience with DevOps and ML Operation tools including version control tools such as GIT.
  • Understanding of information systems security and network architecture
  • Excellent analytical and problemsolving skills
  • Ability to face and interact with clients and deliver technical solutions demonstrations and presentations.
  • Wellversed and proficient in Python, C++ scripting languages
  • Experience in industrial computer vision applications using AI for tasks such as object detection and tracking.
  • Experience working with GIS aerial dronebased data analytics and modeling for anomaly detection is nice to have
  • Experience in Computer Vision applications for corrosion monitoring of industrial assets and pipes is a plus.
  • Experience in the latest computer vision frameworks for pretrained models and transfer learning.
  • Experience in industrial automation use cases using computer vision AI
  • Certification in AI / Data Analytics / Deep Learning is desired
  • Having a personal Github account will be an advantage.
  • Having analytical capabilities to support engineering decisions.
  • Experience in realtime (e.g. video, CCTV camera streams) video analytics pipeline.
  • Process or Power industry experience is desired.
  • Experience in cloud deployment platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) is nice to have.
  • Good in documentation practices, writing reports, and project protocols.
  • High level of technical aptitude
  • Microsoft Office and technical presentation skills.
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