about job
- Help in developing AI-driven systems tailored for enterprise use, encompassing data pipeline creation, workflow automation through APIs, and deployment of models
- Collaborate with a senior architect to build and integrate essential elements of the AI infrastructure, including environments for model execution, component registries, and interoperability tools.
- Assist in connecting AI capabilities with enterprise applications through API integrations, utilizing both RESTful interfaces and event-based communication strategies.
- Take part in building, validating, and refining machine learning pipelines on cloud AI platforms such as Azure ML, AWS SageMaker, Bedrock, or AI Foundry.
- Assess and identify suitable AI platforms and technologies—such as Azure ML, AI Foundry, Databricks, or open-source frameworks—by aligning their capabilities with organizational objectives and technical requirements.
- Engage with different stakeholders to prioritise deliverables and to apply product safety and security requirements successfully and in time.
skills and requirements
- Bachelor degree in computer science, or a related field
- Min 5 years of relevant working experience.
- Strong understanding of LLM (tools and frameworks such as GPT, LLama, LangChain, LangGraph, RAG, MLflow, Kubeflow, and related AI/ML orchestration technologies.
- Expertise in designing and integrating end-to-end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments
- Building strong relationships with key stakeholders and influencing decision-making.
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
...
