Website:
kalydo.ai
Job details:
AI Model Developer - Computer Vision
This role blends hands-on data labeling, model experimentation, and performance tuning to ensure the Kalydo 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 Responsibilities
Model Development:Develop and optimize deep learning models for camera images, focusing on generalization across varied 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 for model development.
Hands-on experience in computer vision tasks such as detection, segmentation, or classification.
Proficiency in hyperparameter tuning and training large-scale models.
Familiarity with data annotation tools like Roboflow or CVAT and managing annotation quality.
Experience in building ML pipelines and MLOps workflows (e.g., MLflow, DVC, Kubeflow).
Analytical mindset for model evaluation and performance benchmarking.
Excellent teamwork and communication skills.
Good-to-Haves
Experience with multi-camera or multimodal data (e.g., image + metadata).
Familiarity with Edge AI or real-time video inference.
Knowledge of data versioning, model drift detection, or continuous learning.
Prior experience managing or coordinating a small annotation team.
What we Offer
20 GB GPU server access for experimentation and training.
Lead and coordinate your own annotation team.
Work directly with the Co-founder and Senior Developer on high-impact projects.
Exposure to multimodal, real-world AI problems that go beyond typical datasets.
Fast-paced environment with room for innovation, autonomy, and career growth.
Send an email to join@kalydo.aiwith a cover letter and your CV to apply.
Click on Apply to know more.
