Job Description:

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 current 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 current 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