Data/ML Ops Engineer

Overview Position: Data / ML Ops Engineer Location: Remote (EST) 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. 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 (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 Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. #J-18808-Ljbffr Dexian