Machine Learning Engineer

This is a remote position.

What you’ll do

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

• Collaborate with cross-functional teams including engineers, product managers, and domain experts.
  

What you’ll need

• 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.
  

• Be part of a (Remote is here-to stay) organization.
  
• Work and learn from great minds.
  
• Explore new opportunities to learn and grow everyday by attending technical and nontechnical training. 
  
• Get market exposure by working with international tech leaders. 
  
• Nursery reimbursement benefit. 
  
• Attend virtual and onsite international tech conference.
  
• Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO/ SOC.