AIML Data Engineer

Title: AI/ML Data Engineer

Location: Remote

Duration: 1 year

We are currently in the process of migrating our Clinical Trial Management System (CTMS) and are seeking a skilled AI/ML Data Engineer to join our team. As an AI/ML Data Engineer you will be responsible for developing and managing a new OCR (Optical Character Recognition) and document classification model. Our existing model which processes around 200 studies and 75000 documents annually has seen a significant decline in accuracy. You will play a crucial role in rebuilding this model to adapt to new document templates and structures ensuring the accuracy and efficiency of our document processing workflow.

Key Responsibilities:

• Develop and Implement New OCR and Classification Models:
  • Rebuild the OCR and document classification model to achieve high accuracy and reduce manual intervention.
  • Utilize NLP techniques to enhance the models performance.
  • Ensure the model can effectively classify documents as valid or invalid and flag those that require manual review.
• Data Analysis and Model Evaluation:
  • Analyze existing data and model performance to identify areas of improvement.
  • Conduct rigorous testing and validation of the new model to ensure it meets the required accuracy standards.
• Collaboration and Integration:
  • Work closely with the data engineering team to integrate the new model into the CTMS migration.
  • Collaborate with crossfunctional teams to understand document structures and ensure the model aligns with business needs.
• Continuous Improvement:
  • Monitor the models performance postdeployment and make necessary adjustments to maintain high accuracy.
  • Stay updated with the latest advancements in OCR NLP and machine learning to continually improve the model.

Qualifications:

• Educational Background:
  • Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field.
• Experience:
  • Proven experience in developing and deploying OCR and NLP models.
  • Experience with machine learning frameworks and libraries.
  • Prior experience in handling large volumes of documents and ensuring data quality.
• Technical Skills:
  • Handson development with Microsoft stack (Azure Data Factory SSIS Databricks) as well as Python and SQL.
  • Proficiency in Python and relevant libraries.
  • Strong understanding of data preprocessing feature extraction and model evaluation.
  • Experience with database management and integration.
• Soft Skills:
  • Ability to work independently and collaboratively in a fastpaced environment
  • Excellent problemsolving skills and attention to detail.
  • Strong communication skills to collaborate with team members and stakeholders.
  • Hyper communication and inquisitive.
  • Drivers with high level of selfmotivation.
  • Extreme accountability and ownership.
  • Handson executionists vs theorists.
  • Critical thinking.

• Experience in the healthcare or clinical research industry.
• Familiarity with CTMS and document management systems.
• Knowledge of cloud platforms and DevOps practices.
• Experience with Validated Systems

Additional Details

Recruiters Here are the most recent updated notes from manager regarding the role and what he is looking for:

• Current OCR and classification exists in Python using OCR/NLP
  • Accuracy was once as high as 98% now below 60% requiring more manual intervention
• Existing process covers 200 studies and around 75k documents per year
• Need data scientist to build new OCR and Classification model as part of CTMS migration
  • Classifying as valid or not
  • Does it look like others If not manually review.
• Document templates and structures have changed since original so need to rebuild
• Primary responsibility to rebuild and manage the module
  • Data engineering work being done by other members of the team but will need to work with them