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Key Responsibilities

• Build and deploy machine learning and generative AI models across a range of use cases.

• Integrate AI capabilities into digital products and enterprise systems.

• Collaborate with data engineers, product teams, and solution architects to ensure scalable, secure, and reliable model deployment.

• Perform model evaluation, optimisation, monitoring, and continuous retraining within established MLOps workflows.

Ideal Profile

• 3–7+ years of experience in ML/AI engineering.

• Proven experience deploying models into production using MLOps pipelines.

• Strong understanding of LLMs, prompt engineering, vector databases, agent‑based solutions, and API integrations.

• Solid background in cloud architecture and scalable solution deployment.