Machine Learning Engineer

4 weeks ago


India Sigmaways Inc Full time

We seek a skilled Machine Learning Engineer specializing in detection model training, optimization, and reporting. The ideal candidate will work with our advanced AI team to experiment with and optimize detection models for various applications. This role involves developing and refining models, optimizing performance, and automating processes to ensure efficiency and accuracy.

Key Responsibilities:


  • Experiment with various configurations of datasets and train models for different camera angles and customer-specific requirements.
  • Data augmentation techniques such as adding noise, blur, and image rotation enhance model robustness.
  • Utilize pre-trained models, update weights, and retrain, or develop models from scratch using YOLO versions.
  • Fix issues related to randomization in RF validation datasets.
  • Implement scripts to filter small annotations as part of detection testing.
  • Train and evaluate models of varying sizes (nano, small, and large) for performance and accuracy.
  • Automate the training pipeline to streamline model development and deployment processes.
  • Develop evaluation pipelines for accuracy, speed benchmarking, and VRAM optimization.
  • Consolidate and transition code from collaborative tools (e.g., Colab) to SageMaker or our automated training systems.
  • Provide weekly reports on model performance metrics, including accuracy and benchmarking results.
  • Assist with maintaining data hygiene in Roboflow and collaborate on additional model development.
  • Work on multi-camera calibration for optimized detection across various camera setups.


Required Skills:


  • Bachelors/Masters in Computer Science preferred.
  • Proven experience with YOLO and other detection models.
  • The position requires hands-on experience with YOLO (v8, v10, and others), data augmentation techniques, and model benchmarking.
  • Proficiency in Python and familiarity with SageMaker, Colab, or similar platforms.
  • Strong understanding of data augmentation, model optimization, and automated pipelines.
  • Excellent problem-solving skills and the ability to deliver accurate, timely reports.
  • Experience with multicam calibration is a plus.



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