Machine learning engineer with OCR

Please find the JD below

4+ years of experience as Machine Learning Engineer with Optical character recognition

Implement AI and ML solutions and establish system operations and maintenance structures.

Provide strategic and operational advice to the stakeholders regarding AI/ML infrastructure to serve current and future needs.

Transform data science prototypes and optimise machine learning solutions for scalability and deployment into production.

Design dynamic ML models and systems which have the ability to train, retrain, and untrain themselves whenever required.

Periodically evaluate the ML systems and ensure that end solutions are in alignment with corporate and IT strategies.

Evaluate the variations in data distribution that affects the model performance.

Visualise data for insights and perform statistical analysis, applying new insights to improve the model.

Requirements

Document best practices of ML to be followed by the IT Development and Business teams for indefectible ML systems and for the efficient flow of projects.

Identify challenges faced by data analysts and data scientists and develop solutions to integrate into the existing platform.

Possess good problem-solving skills and knowledge of machine learning techniques for solving a range of problems.

Possess knowledge of neural network programs and natural language processing.

Write programs and algorithms to extract insights from large data sets.