Machine Learning Engineer

2 weeks ago

India Qrata Full time

About the 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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