- Company Name
- Innova Recruitment
- Job Title
- Senior Machine Learning Engineer
- Job Description
-
Job title: Senior Machine Learning Engineer
Role Summary: Lead the design, development, deployment, and monitoring of large‑language‑model (LLM) systems for processing long, noisy, highly regulated text in healthcare or legal contexts. Serve as the technical authority, coordinating with MLOps and data engineering teams while mentoring junior engineers.
Expactations:
- Own end‑to‑end AI delivery from problem framing to production & post‑deployment iteration.
- Exercise rigorous judgement on accuracy, auditability, explainability, and regulatory compliance.
- Maintain and elevate AI technical standards, ensuring responsible AI practices.
Key Responsibilities:
- Design, build, and operate LLM‑based pipelines for text classification, summarisation, and retrieval‑augmented generation on large, unstructured documents.
- Own full lifecycle: model design, fine‑tuning, prompting, RAG pipeline construction, evaluation, deployment, and monitoring.
- Establish robust evaluation frameworks for accuracy, quality, reliability, and drift detection.
- Coordinate with MLOps for CI/CD, model versioning, containerisation (Docker, Kubernetes), and scalable deployment.
- Embed explainability, auditability, and governance requirements into system design.
- Mentor junior AI engineers, set technical standards, and drive continuous improvement of AI delivery quality.
Required Skills:
- Proven production experience building LLM systems for long, noisy, document‑heavy data in regulated environments.
- Expertise in NLP and LLM technologies: transformers, fine‑tuning, prompting, retrieval‑augmented generation.
- Strong knowledge of model evaluation, monitoring, and drift mitigation.
- Hands‑on Docker, Kubernetes, and MLOps pipeline development.
- Deep understanding of explainability, auditability, and AI governance.
- Experience in healthcare, legal, or other compliance‑heavy domains is highly preferred.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).