Job Description
Company Overview
Do you want to work with a Series B AI-powered company focused on cost savings for modern logistics? At Aimhire.io, we are the exclusive recruiting partner for our client and are hiring urgently.
What You Will Work On
Our primary focus has been on document extraction and understanding, utilizing multimodal LLMs to extract, normalize, and link data into our domain model. Loop’s customers depend on highly accurate data ingestion and normalization, setting high standards for model accuracy.
Furthermore, Loop’s machine learning platform requires high reliability and scalability.
Future Expansion
Loop plans to expand its AI capabilities, including areas such as workflow automation and auditing, leveraging agents to address these challenges.
Role Domains
- ML modeling: training, evaluating, and deploying models.
- ML infrastructure: scaling data infrastructure, enhancing training and inference reliability.
- AI engineering: utilizing and orchestrating API LLM models for business solutions.
- Backend engineering: building atomic tasks and automating backend processes.
Projects You Might Work On
- Increasing throughput of Loop’s inference engine through continuous batching.
- Developing methods to fine-tune multimodal LLMs to reduce hallucinations.
- Building agents that audit freight invoices.
Job Highlights
Responsibilities
- Expand AI capabilities into workflow automation and auditing.
- Train, evaluate, and deploy ML models.
- Scale data infrastructure for training and inference, improve ML system reliability.
- Orchestrate and utilize API-based LLM models for business solutions.
- Develop backend components for automation tasks.
- Optimize inference engine throughput via continuous batching.
- Fine-tune multimodal LLMs to decrease hallucination.
- Build agents for freight invoice auditing.
Tags
AI, Machine Learning, NLP, LLM, Backend Engineering