- Geometric Transformations & Math : Apply advanced mathematical techniques (e.g., geometric transformations, linear algebra) to analyze and manipulate technical data.

- Data Processing : Preprocess and annotate structured/unstructured datasets from technical documents and diagrams.

- Model Training & Deployment : Build and deploy models using C++, Python, and frameworks like TensorFlow or PyTorch, ensuring scalability with Docker and Apache Airflow.

- Pipeline Development : Create and maintain robust AI pipelines for data ingestion, model training, and inference using Apache Airflow.

- Collaboration : Work closely with AI engineers, software developers, and product managers to integrate AI solutions into production systems.

- Optimization : Enhance model performance for real-time applications, focusing on low-latency and efficiency.

Key Requirements and Skills :

- Education : Degree in Computer Science, AI/ML, Mathematics, Engineering, or a related field.

- Experience : 5+ years in AI/ML development, with hands-on experience in document processing, diagram detection, or similar technical domains.

- Programming Skills :

o Strong proficiency in C++ and Python (e.g., NumPy, Pandas, OpenCV).

o Familiarity with Rust is a plus.

- Mathematics : Deep understanding of geometric transformations, linear algebra, and statistical modelling.