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Data ML Ops Engineer C2C requirements Mc Lean, VA(On-Site)

Title: Data ML Ops Engineer

Location: Mc Lean, Virginia/ On-Site (Local Candidates)

Duration: 12+Months Contract

Only or
Requirements
35 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

Contact Information

Email: mohammed.g@clevanoollc.com

Click the email address to contact the job poster directly.

About Author

I’m Monica Kerry, a passionate SEO and Digital Marketing Specialist with over 9 years of experience helping businesses grow their online presence. From SEO strategy, keyword research, content optimization, and link building to social media marketing and PPC campaigns, I specialize in driving organic traffic, boosting rankings, and increasing conversions. My mission is to empower brands with result-oriented digital marketing solutions that deliver measurable success.

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