Senior Machine Learning Engineer

4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs Ability to turn prototypes into stable engineering solutions Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements Strong collaboration skills with cross functional partners

Build and productionize LLM and NLP models Improve model accuracy, relevance, and robustness Design and implement scalable ML services and inference pipelines Integrate models with retrieval systems, feature stores, and knowledge sources Contribute to core architectural decisions Translate complex NLP and LLM product requirements into engineering plans Participate in technical design reviews Provide informal mentorship on modern NLP techniques and scalable model serving