Data and Machine Learning Operations Engineer

Jobs via Dice • United State
Remote
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AI Summary

Seeking a Data / ML Ops Engineer to support the data preparation and AI workflow integration for Client's Product. This role will ensure that AI pipelines are performant, secure, and ready for demo during the validation phase. Key requirements include a strong technical foundation in data and machine learning operations.

Key Highlights
Support data preparation and AI workflow integration
Ensure AI pipelines are performant, secure, and ready for demo
Work in agile environments with short-term, high-impact innovation sprints
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
AWS Bedrock Anthropic Claude models PostgreSQL AWS S3 AWS ECS Fargate AWS Lambda Terraform Docker Prometheus CloudWatch Logs/Metrics/Alarms AWS KMS Secrets Manager IAM role-based access
Benefits & Perks
W2 employment
100% remote work
Opportunity to work with leading technology and professional staffing company

Job Description


Dice is the leading career destination for tech experts at every stage of their careers. Our client, Dexian DISYS, is seeking the following. Apply via Dice today!

  • W2 only, client CANNOT do sponsorship*

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/Google Cloud Platform/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

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .

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.

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