Job Description

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We are seeking an experienced MLOps / AI Platform Engineer to build and operate scalable ML and GenAI platforms across cloud and hybrid environments.

Key Responsibilities: n

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Design and implement ML model deployment and CI/CD/CT pipelines.
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Build scalable AI platforms using Docker, Kubernetes and GPU-enabled environments.
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Implement model monitoring, observability, alerting and performance optimisation.
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Establish data, feature management, lineage and model governance practices.
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Operationalise GenAI, LLM, RAG and Agentic AI solutions.
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Support frameworks such as Vertex AI, MLflow, Kubeflow, LangChain and LangGraph.
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Work with AI, data, operations and business teams to deliver production-ready AI solutions.
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Key Requirements:



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Robust experience in MLOps / AI Platform Engineering.
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Hands-on experience with Vertex AI and/or MLflow/Kubeflow.
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Solid Python and SQL skills.
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Experience with Docker, Kubernetes and CI/CD.
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Experience with cloud platforms such as GCP, Azure or AWS.
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Solid knowledge of Terraform and cloud infrastructure automation.
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Experience supporting ML/GenAI production workloads.
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Desirable: BigQuery, Snowflake, Spark, Airflow, OpenAI APIs, LangChain, LangGraph and Agentic AI.
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