Feb 12, 2026 3 hr. ago

Data/ML Ops Engineer

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Feb 12, 2026 3 hr. ago

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GuruSchools Data/ML Ops Engineer

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Position Title*

Data/ML Ops Engineer

Position Responsibilities

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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Data/ML Ops Engineer

Skills

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Description

Skills

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