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As a Machine Learning Engineer at Aspire, you will play a key role in building intelligent systems that automate and optimize document understanding processes. You will be responsible for designing, developing, and deploying machine learning models focused on extracting structured data from complex, unstructured documents. Your skills in Python, deep learning, and natural language processing will help power intelligent automation solutions used across global financial operations.

As a Machine Learning Engineer at Aspire, you will play a key role in building intelligent systems that automate and optimize document understanding processes. You will be responsible for designing, developing, and deploying machine learning models focused on extracting structured data from complex, unstructured documents. Your skills in Python, deep learning, and natural language processing will help power intelligent automation solutions used across global financial operations.

1. Design and implement intelligent document processing pipelines using a blend of machine learning and rule-based methods.
2. Research and apply state-of-the-art deep learning models (e.g., transformers) for document parsing and semantic understanding.
3. Develop and fine-tune large language models (LLMs) for tasks such as information extraction, table detection, and document classification.
4. Build robust data validation frameworks to ensure accuracy and reliability of extracted information.
5. Convert complex document formats into structured data while preserving context and content fidelity.
6. Deploy models and ML pipelines to cloud infrastructure using tools like Docker and AWS services.
7. Evaluate model performance through experiments, track key metrics, and communicate results to stakeholders.
8. Participate in Agile development processes including sprint planning, daily stand-ups, and retrospectives.
9. Collaborate with cross-functional teams including engineers, product managers, and domain experts.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline.
• 3-4 years of professional experience in Python development, with a focus on data extraction and ML applications.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Familiarity with transformer-based architectures and LLMs for NLP and document processing tasks.
• Proficiency in using the Hugging Face ecosystem (Transformers, Datasets, Model Hub).
• Solid SQL skills for querying and managing structured data.
• Strong problem-solving and analytical thinking skills.
• Excellent communication skills for translating technical concepts to non-technical audiences.
• Experience working in Agile/Scrum teams.
• Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar.