Expert IT Developer- PL (42229)
Summary
Build and run MLOps, GenAI Ops, and Agentic AI Ops systems on AWS, automating CI/CD for AI workloads and provisioning infra with Terraform.
Summary
The consultant will play a key role in advancing AI capabilities by designing, implementing, and maintaining MLOps, GenAI Ops, and Agentic AI Ops systems. This position is crucial for establishing robust and scalable AI platforms that facilitate efficient operation and lifecycle management of AI solutions within the GFCP area.
Main Responsibilities
Design and implement MLOps, GenAI Ops, and Agentic AI Ops frameworks for enterprise AI initiatives.
Build, deploy, and manage AI/ML solutions using AWS cloud services.
Develop automated CI/CD pipelines for machine learning and generative AI workloads.
Provision and manage AWS infrastructure using Terraform.
Ensure scalability, reliability, security, and compliance of AI platforms.
Integrate AI solutions with existing cloud and data platforms.
Monitor, troubleshoot, and optimize AI workloads and cloud resources.
Implement observability, logging, tracing, and governance mechanisms for AI applications.
Collaborate closely with architects, data scientists, engineers, and business stakeholders to deliver AI solutions aligned with program objectives.
Support the operationalization of GenAI and Agentic AI use cases from development through production.
Key Requirements
Strong hands-on experience with AWS SageMaker and AWS Bedrock.
Extensive experience with AWS services (e.g., Glue & Glue Catalog, S3, VPC, Step Functions, IAM, AWS X-Ray, CloudWatch, etc.).
Experience with MLflow for experiment tracking and model lifecycle management.
Strong Infrastructure as Code (IaC) expertise using Terraform.
Understanding of machine learning lifecycle management.
Experience with cloud-native architectures and enterprise-scale AI platforms.
Nice to Have
Self-driven with ability to work independently.
Strong collaboration and stakeholder management skills.
Ability to work effectively in a fast-paced environment.
Experience with large-scale AI transformation or enterprise AI programs.
Other Details
Category: IT Consulting Services
Specialization: AI Platform Engineering / MLOps & GenAI Operations Consultant
Work mode: hybrid, 3 days per week from the office