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.
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