Principal AI/ML Engineer | Java, Spring AI, LLMs & AI Agents

About this role

Key Responsibilities:

• Develop and optimize machine learning models for anomaly detection,
• Design and implement AI agents and autonomous workflows (LLM-based, tool-augmented, multi-step reasoning),
• Analyse large datasets to uncover patterns, trends, and anomalies,
• Collaborate with engineering teams to deploy models into production, Integrate AI solutions within Java-based environments using Spring AI,
• Deploy models into production (APIs, microservices, cloud environments),
• Monitor model performance and continuously improve accuracy.

Required skills:

• Strong experience in Python and machine learning frameworks,
• Proficiency in Java and hands-on experience with Spring AI,
• Solid knowledge of anomaly detection techniques (statistical methods, ML, deep learning, time-series),
• Experience with agent-based systems or autonomous workflows,
• Solid understanding of data processing and model deployment,
• Strong understanding of model deployment, monitoring, and MLOps practices,
• Strong analytical and problem-solving skills.