Machine Learning Engineer
1 month ago
About the Company
A leading global commodities company
Knowledge, Skills and Abilities
•5+ years of experience working on machine learning and NLP projects
• Previous experience working in Consulting or B2B software company
• Strong foundation in Machine Learning basics
• Ability to collaborate efficiently in teams of technical and non-technical individuals
• Strong coder with demonstrated proficiency in Python and application frameworks (e.g. Django, Flask)
• Experience with databases (SQL, NoSQL) and data engineering (e.g. Airflow)
• Experience with cloud infrastructure (AWS preferred)
• Experience with microservices architectures
• Experience with event-driven architectures
Key Responsibilities
• Collaborate closely with business stakeholders to successfully implement new Document AI use cases
• Communicate effectively with both technical and non-technical stakeholders to understand and
translate business requirements into production code
• Serve as the primary point of contact for business users, leading meetings, providing regular updates, addressing concerns, and managing expectations
• Identify new opportunities and constantly improve on the Document AI platform by rapidly prototyping new features, evaluating and implementing them into production
• Fine-tune LLMs and domain-specific embeddings models for new document types
• Example projects you might own in the first 6 months include:
• Implement LLM workflow to automate information extraction from domain specific documents
• Generate credit risk reports based on analysis of proprietary documents
• Improve analytic models by incorporating qualitative signals from private documents
Competencies
• Strong desire to help people solve problems
• Self-directed and comfortable working autonomously
• Engineering mindset, focused on delivering production solutions with the appropriate technology
Key Relationships
• You will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade code to solve them.
• You will work directly with Business users in our front, middle and back offices to build trust and
support their business requirements.
• You will support the Data Science & Engineering teams as a Centre of Excellence for Document AI
related technology, providing support in the form of knowledge sharing and tool adoption.
Reporting Structure
You will report directly to the Document AI Lead.
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