AI Engineer

Key Responsibilities

• Design, train, and optimize deep learning models (CNNs, SSD and related variants) for image classification and object detection.

• Implement and maintain end-to-end computer vision pipelines using

  OpenCV

  or equivalent libraries.

• Develop, deploy, and manage models using

  Azure Custom Vision

  and other cloud platforms.

• Handle full model lifecycle: versioning, repository management, CI/CD integration, and OTA deployment.

• Work closely with cross-functional teams to integrate AI models into production environments.

• Monitor and evaluate model performance; retrain models to ensure accuracy and reliability.

• Maintain comprehensive documentation of workflows, experiments, and deployment processes for reproducibility and compliance.

Required Skills & Qualifications

• Bachelor's or Master's degree in

  Computer Science, AI, Data Science, Machine Learning, IT

  , or related fields.

• 23 years

  of hands-on experience in

  computer vision, deep learning, and model deployment

  .

• Strong programming proficiency in

  Python

  .

• Experience with

  TensorFlow, PyTorch, and Azure Custom Vision

  .

• Solid understanding of deep learning architectures (e.g.,

  CNN, SSD

  ).

• Familiarity with MLOps practices:

  Git, CI/CD, model versioning, OTA deployment

  .

• Proficiency in image processing and vision techniques using

  OpenCV

  or equivalent libraries.

• Experience in model evaluation, tuning, and real-world deployment.

• Experience with cloud platforms such as

  Azure, AWS, or GCP

  .

• Exposure to edge deployment / embedded AI systems.

• Understanding of dataset management and data annotation tools.

• Familiarity with containerization (

  Docker

  ) and orchestration (

  Kubernetes

  ) is a plus.

Soft Skills

• Strong problem-solving and debugging skills.

• Excellent communication and collaboration abilities.

• High attention to detail and ability to work in a fast-paced environment.

• Commitment to writing clean, maintainable, and scalable code.

• Curiosity and eagerness to learn and explore emerging industry trends.