Algorithm Engineer - Deep Learning/Machine Learning

Description :

Core Responsibilities :

- Design, tune, and evaluate deep learning architectures (e.g., U-Nets, YOLO variants).

- Explore new modelling approaches and conduct comparative experiments for new challenges

- Lead data purification efforts : filtering, augmentation, and dataset optimization, have in mind transfer learning.

- Define success metrics and analyze model performance across tasks.

- Present findings clearly through visualizations, reports, and internal reviews.

- Collaborate on deployment strategy by identifying the best algorithmic solutions for real-world constraints.

Qualifications/Requirements :

Required :

- Phd with 5 years of experience or MS/MTech degree with 8 or more years of Algorithm development experience.

- Strong background in deep learning and computer vision.

- Hands-on experience with PyTorch and model training workflows.

- Ability to communicate complex ideas clearly and lead technical discussions.

Preferred :

- Experience with experiment tracking tools (e.g., TensorBoard, W&B).

- Familiarity with cross-platform development and system integration.