Machine Learning Engineer

As a GenAI Solutions Engineer (MLOps-leaning) at eCloudvalley, you will turn AI prototypes into secure, observable, and cost-efficient production solutions on AWS. You'll collaborate closely with the Senior Cloud Architect, product / PS teams, and customers to build RAG / KB chat, voice assistants, and AI integrations—complete with evaluation loops, guardrails, and CI / CD.

Job Responsibilities :

• Design, implement, and operate serverless GenAI applications on AWS (Bedrock, Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SQS).
• Productionize Bedrock Knowledge Bases / RAG flows and voice / chat assistants with clear SLIs / SLOs.
• Build evaluation frameworks (quality / latency / cost), and run scheduled regressions with dashboards.
• Implement guardrails & safety : PII redaction, content filtering, prompt hardening, audit logs, red-team tests.
• Establish observability by default : structured logging, metrics, alarms, and runbooks.
• Own cost management : infra budgeting, caching strategies, usage caps, FinOps tagging / alerts.
• Ship CI / CD pipelines (GitLab CI / GitHub Actions) and reusable Terraform modules for repeatable delivery.
• Collaborate on reviews (IAM / KMS, privacy, compliance) and incident readiness; support sales / PS with demos and workshops.
• Document architectures, playbooks, and "paved road" templates.
• Familiar in Data Pipeline / ETL – S3 + Glue + Athena + Step Function

Job Requirements :