MLOps Engineer-67153

=== POSTING ===

MLOps Engineer Bolingbrook, IL

Job Description

We are seeking an experienced MLOps Engineer to operationalize, scale, and maintain enterprise AI/ML platforms across cloud, hybrid, and on-prem environments. This role focuses on building reliable, secure, and observable ML systems supporting LLM workloads, Retrieval-Augmented Generation (RAG), document intelligence, multimodal processing, and predictive ML pipelines.

The ideal candidate brings strong engineering discipline, automation mindset, and hands-on experience delivering production-grade AI systems with robust governance, security, and performance optimization.

Key Responsibilities

• Design, build, and automate end-to-end ML pipelines (data ingestion, feature engineering, training, evaluation, packaging, deployment).
• Implement model CI/CD including versioning, automated testing, canary/blue-green deployments, and rollback strategies.
• Operationalize LLM and RAG systems, including embedding workflows, vector indexing, latency optimization, and grounding quality checks.
• Productionize document intelligence and multimodal pipelines (OCR parsing, enrichment, batch and streaming workflows).
• Establish observability and monitoring for data quality, model drift, safety indicators, inference latency, and error conditions.
• Enforce Responsible AI practices including auditability, reproducibility, governance metadata, lineage tracking, and approval workflows.
• Secure model serving environments through container hardening, IAM, secrets management, and network isolation.
• Optimize GPU/CPU utilization, autoscaling, throughput, and cost efficiency.
• Develop reusable templates, reference architectures, starter repositories, and technical documentation.

Required Skills & Experience

• Strong proficiency in Python, CI/CD, Docker, and Kubernetes.
• Hands-on experience operationalizing LLM, RAG, and predictive ML systems in production.
• Solid foundation in data engineering, schema governance, and batch/stream processing.
• Strong security mindset, including PII controls, secrets management, network boundaries, and auditability.
• Experience with Google Cloud Platform, including:
  • Vertex AI (training, tuning, deployment, orchestration, model registry, monitoring)
  • BigQuery / BigQuery ML
  • Cloud Composer and Dataflow
  • GKE or Cloud Run for scalable model serving
  • Artifact Registry, Cloud Build, and Cloud Deploy for CI/CD

Preferred Qualifications

• Experience with agentic reasoning patterns and workflow orchestration.
• Familiarity with LLM evaluation frameworks, grounding validation, bias, and safety checks.
• Contributions to open-source ML or MLOps tools.

**ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2**

For immediate consideration, please contact:

Rachna Gaur
PRIMUS Global Services
Phone:
Email: