Machine Learning Engineer

Job Summary:

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying custom classification and data extraction models using Azure Document Intelligence. You will collaborate with cross-functional teams to deliver solutions that enhance our data processing capabilities. This role requires a deep understanding of machine learning, extensive experience with Python, and a proven track record of working with cloud platforms.

Key Responsibilities:

• Develop and deploy custom classification and data extraction models using Azure Document Intelligence.
• Design and implement machine learning algorithms to solve complex document processing challenges.
• Collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems.
• Optimize and fine-tune models for performance and scalability.
• Stay updated with the latest advancements in machine learning and document intelligence technologies.
• Participate in code reviews, testing, and debugging processes.
• Ensure compliance with best practices in data privacy and security.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in machine learning with a focus on document intelligence.
• Extensive experience in developing and deploying models on Azure Document Intelligence.
• Proficiency in Python (3+ years of experience).
• Strong understanding of machine learning algorithms and their applications.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with Agile development methodologies.
• Certification in Azure, AWS, or GCP.