Senior Machine Learning Engineer

What You’ll Be Doing:

• Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
• Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation.
• Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.

System Architecture & Engineering:

• Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline.
• Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long term extensibility.

Delivery, Collaboration & Leadership:

• Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.
• Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards, model QA, code quality, and operational excellence.
• Demonstrate strong ownership and attention to detail by driving high-quality delivery.