Role overview
We are looking for a Senior Machine Learning Engineer to lead the development, deployment, and operationalization of advanced AI and machine learning solutions across two high-impact initiatives:
- Automated Requirements Engineering Platform powered by Large Language Models (LLMs)
- Supply Chain Intelligence Platform with predictive risk scoring and demand forecasting.
What you'll work on
- LLM & NLP Pipelines**
- Design and fine-tune LLM-based pipelines to parse and interpret complex regulatory and technical documentation (e.g. military standards, building codes);
- Transform unstructured natural language requirements into machine-executable formats (e.g. logic tuples, structured rules);
- Implement Retrieval-Augmented Generation (RAG) architectures for semantic search across technical documents and historical project data;
- Optimize prompt engineering strategies (few-shot learning, chain-of-thought, prompt templates) to improve domain-specific performance with minimal retraining.
What we're looking for
- 5+ years of experience in Machine Learning Engineering with production-grade deployments;
- Proven ability to adapt ML solutions to complex, highly regulated domains (e.g. defense, supply chain, construction, engineering);
- Experience working in agile delivery models, while maintaining strict engineering standards and documentation discipline;
- Strong collaboration and communication skills, with the ability to work closely with Data Scientists, Backend Engineers, and Domain Experts.
Tags & focus areas
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