Expert IT Developer- PL (42229)

The role is within the banking industry, focusing on AI platform engineering and MLOps & GenAI operations consultancy in the Data & Analytics area.

• Strong hands-on experience with AWS SageMaker and AWS Bedrock.
• Extensive experience with AWS services including Glue & Glue Catalog, S3, VPC, Step Functions, IAM, AWS X-Ray, CloudWatch.
• 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.

• 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.