AI Summary
Seeking a Data/ML Ops Engineer to support data preparation and AI workflow integration. Ensure AI pipelines are performant, secure, and ready for demo. Collaborate with AI engineer to integrate data into demo workflows.
Key Highlights
Prepare structured and unstructured data for RAG pipelines
Configure and manage vector databases and embeddings
Ensure pipeline reliability, reproducibility, and observability
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
Technical Skills Required
Benefits & Perks
W2 only
Remote work (EST)
Job Description
Job Description
Data/ML Ops Engineer
Company: Signature Consultants
Location: Mclean, VA
- Remote (EST)
Posted: 17 hours ago
Job Description
- W2 only, client CANNOT do sponsorship*
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Summary: Seeking a Data / ML Ops Engineer 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.
- 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.
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- AWS (ECS Fargate, Lambda, EventBridge), Terraform, Docker
- Prometheus, CloudWatch Logs/Metrics/Alarms, structured JSON logging
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- Compliance: NIST 800-53, FedRAMP, SOC 2, PCI DSS
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