Senior MLOps Engineer - Computer Vision (Remote, Lahore, Remittance Salary)

Requirements:

• 2+ years of experience in Computer Vision and MLOps.
• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• Hands-on experience with FastAPI and asynchronous programming.
• Strong understanding of model optimization techniques.
• Expertise in Docker, containerization, and dependency management.
• Knowledge of CI/CD pipelines for ML model deployment.
• Excellent problem-solving skills and ability to work independently.
• Experience with Kubernetes, AWS/GCP/Azure, and serverless deployments.
• Familiarity with monitoring tools like Prometheus, Grafana, or the ELK stack.
• Familiarity with edge deployment frameworks like TensorFlow Lite, ONNX Runtime, or NVIDIA Triton.

Responsibilities:

• Deploy trained deep learning models using FastAPI, ensuring efficient and scalable inference services.
• Optimize machine learning models to reduce inference time, leveraging techniques such as quantization and hardware acceleration.
• Develop and maintain Dockerfiles to containerize models, ensuring reproducibility and ease of deployment.
• Handle image preprocessing pipelines using OpenCV, PIL, or other image processing libraries to ensure optimal input data quality.
• Monitor model performance in production for errors and implement maintenance updates.
• Collaborate with backend engineers to integrate models into the existing infrastructure.