This role blends hands-on data labelling, model experimentation, and performance tuning to ensure the platform delivers robust and real-time vision analytics.
We are looking for an AI Model Developer who will build generalized computer vision models for camera imagery. You will play a key role in developing, fine-tuning, and optimizing models that can generalize across diverse camera feeds and environments. The role requires strong ownership of the full AI lifecycle — from data annotation planning to model deployment — and a passion for experimenting with different strategies to push model performance boundaries.
Key Responsiblities
- Model Development: Develop and optimize deep learning models for camera images, focusing on generalization across wide-ranging domains.
- Hyperparameter Tuning: Conduct systematic experiments with model architectures and hyperparameters to achieve the best trade-off between accuracy, robustness, and speed.
- Annotation Management:
- Plan weekly annotation activities and strategies for the annotation team.
- Review and approve annotations to ensure quality and consistency.
- Design new labeling strategies to improve model understanding of complex scenarios.
- Model Training & Evaluation:
- Train and evaluate models on curated datasets.
- Compare new model performance against previous baselines to identify improvement trends.
- Analyze model failure cases and design corrective actions.
- Automation & MLOps:
- Develop and maintain data/model pipelines to automate repetitive or manual workflows.
- Implement experiment tracking, versioning, and automated training/evaluation loops.
- Experimentation & Research:
- Explore new architectures, augmentation techniques, and annotation strategies.
- Stay updated on recent trends in multimodal AI and apply them to complex surveillance use cases.
Requirements :
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- Strong experience with PyTorch or TensorFlow f
📌 AI Model Developer (Rajkot)
🏢 Mantras2Success
📍 Rajkot
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