Lead Machine Learning Engineer

Architect and build scalable ML systems leveraging optimisation, NLP (Natural Language Processing), and advanced analytics

Lead end-to-end ML lifecycle (MLOps) including data pipelines, model training, deployment, and monitoring

Provide technical leadership and mentorship to engineering and data science teams

Build and maintain production-grade ML pipelines using CI/CD practices

Optimize model performance, latency, and scalability while ensuring data security and governance

Collaborate with product and business stakeholders to translate complex problems into ML-driven solutions

• Evaluate emerging technologies (Generative AI, LLMs, agent-based workflows) and drive adoption where relevant