about company
I am currently working with a leader in emerging technologies.
Salary structure: base + bonus. 5 days in office. 2 rounds of interview.
about job (please reach out for more detailed JD)
- Lead the architectural design and deployment of enterprise-grade AI solutions, focusing on scalable data pipelines and cloud-native model environments.
- Oversee the integration of AI components including model registries, runtime systems, and specialized toolsets into existing business platforms.
- Design and manage complex API ecosystems using both RESTful and event-driven patterns to ensure seamless service delivery.
- Direct the development and testing of machine learning workflows across major cloud platforms like Azure and AWS.
- Conduct technical evaluations and build proof-of-concepts for emerging technologies to ensure they align with organizational architecture standards.
- Work alongside cross-functional engineering, MLOps, and data teams to govern the full AI lifecycle from ingestion to secure operations.
skills and requirements
- Degree in Computer Science, AI/ML, or a related technical field with over 3 years of experience in AI platform integration and solution architecture.
- Proven expertise in designing end-to-end workflows including model orchestration and serving APIs within hybrid cloud environments.
- Advanced hands-on experience with cloud AI services such as Azure ML, AI Foundry, AWS SageMaker, and Bedrock.
- Deep technical knowledge of AI frameworks and orchestration tools including LangChain, LangGraph, GraphRAG, MLflow, and Kubeflow.
- Strong background in Retrieval-Augmented Generation (RAG) and managing the deployment, monitoring, and scaling of models.
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
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