Data/ML Ops Engineer
Visa: USC/GC
Location: MClean Virginia
Summary We are looking for a Data / ML Ops Specialist to support the data preparation and AI workflow integration for Clients Product. This role will ensure that AI pipelines are performant secure and ready for demo during the validation phase.
Key Responsibilities - Prepare structured and unstructured data for RAG pipelines.
- Configure and manage vector databases and embeddings.
- Collaborate with AI engineer to integrate data into demo workflows.
- Ensure pipeline reliability reproducibility and observability.
- Support versioning experimentation and deployment infrastructure.
Requirements - 3 5 years of experience in ML Ops Data Engineering or AI pipeline operations.
- Familiarity with LLM tuning prompt engineering or semantic search.
- Experience with cloud platforms (AWS/GCP/Azure).
- Understanding of security and privacy in AI data pipelines.
- Comfortable working on short-term high-impact innovation sprints.
- Experience working in agile environments.
Experience with the following Technologies: - AWS Bedrock Anthropic Claude models (Claude Sonnet 4.5 Claude Haiku 4.5 Claude Opus 4.5)
- PostgreSQL (RDS) AWS S3 (versioned encrypted)
- AWS (ECS Fargate Lambda EventBridge) Terraform Docker
- Prometheus CloudWatch Logs/Metrics/Alarms structured JSON logging
- AWS KMS Secrets Manager IAM role-based access
- Compliance: NIST 800-53 FedRAMP SOC 2 PCI DSS
Data/ML Ops Engineer Visa: USC/GC Location: MClean Virginia Summary We are looking for a Data / ML Ops Specialist to support the data preparation and AI workflow integration for Clients Product. This role will ensure that AI pipelines are performant secure and ready for demo during the validati...
Data/ML Ops Engineer
Visa: USC/GC
Location: MClean Virginia
Summary We are looking for a Data / ML Ops Specialist to support the data preparation and AI workflow integration for Clients Product. This role will ensure that AI pipelines are performant secure and ready for demo during the validation phase.
Key Responsibilities - Prepare structured and unstructured data for RAG pipelines.
- Configure and manage vector databases and embeddings.
- Collaborate with AI engineer to integrate data into demo workflows.
- Ensure pipeline reliability reproducibility and observability.
- Support versioning experimentation and deployment infrastructure.
Requirements - 3 5 years of experience in ML Ops Data Engineering or AI pipeline operations.
- Familiarity with LLM tuning prompt engineering or semantic search.
- Experience with cloud platforms (AWS/GCP/Azure).
- Understanding of security and privacy in AI data pipelines.
- Comfortable working on short-term high-impact innovation sprints.
- Experience working in agile environments.
Experience with the following Technologies: - AWS Bedrock Anthropic Claude models (Claude Sonnet 4.5 Claude Haiku 4.5 Claude Opus 4.5)
- PostgreSQL (RDS) AWS S3 (versioned encrypted)
- AWS (ECS Fargate Lambda EventBridge) Terraform Docker
- Prometheus CloudWatch Logs/Metrics/Alarms structured JSON logging
- AWS KMS Secrets Manager IAM role-based access
- Compliance: NIST 800-53 FedRAMP SOC 2 PCI DSS
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