AI & ML Engineer (Contract)

Overview

In this role you will help deliver application solutions by shaping module-level designs, code reviews, and reproducible patterns to meet business objectives. You’ll collaborate with cross-functional teams to document requirements, design fitting architectures, and ensure stable, well-documented deliverables. You will troubleshoot recurring issues, optimize performance, and facilitate smooth deployment and adoption of new applications. This position sits at the intersection of cloud engineering and AI/ML deployment, offering a chance to influence scalable solutions at a global services company with reinvention at its core.

Responsibilities

• Gather requirements and document structured module-level specifications across processes
• Design module-specific application solutions aligned with business needs and standards
• Review and configure code, resolve technical questions, and create replication patterns
• Perform root-cause analysis to troubleshoot recurring issues and enhance software
• Collaborate across technical teams to validate configurations and support deployment, including user training materials

Key requirements

• Python
• PyTorch
• Understanding of transformer architecture
• Experience with agents such as ReAct
• GCP knowledge
• Experience with Docker and cloud databases
• RAG (retrieval-augmented generation)
• Packaging and serving models using containers and KServe/Vertex endpoints
• Working with feature and model registries
• CI/CD
• Model monitoring and drift detection
• Cost-efficient autoscaling, GPU scheduling, canary and shadow deployments, and A/B testing

• collaboration with cross-functional teams
• problem-solving
• effective communication
• Python
• PyTorch
• transformer architectures

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