AI / ML Ops Engineer

About this role

Job Title: AI / ML Ops Engineer

Location: Horsham, PA (Remote - Eastern Time Zone)

Work Arrangement: Remote

Employment Type: Contract

Duration: 9+ Months

Domain: Artificial Intelligence & Cloud Solutions

Pay Rate: $55.00/hr W2 | $66.00/hr C2C

Application Deadline: October 20, 2026

SKILLS REQUIRED

Primary (Must-Have):

• LLM Fine-Tuning & Architecture (LoRA, QLoRA, PEFT, SFT)

• Azure Cloud Deployment & MLOps (Azure Machine Learning, AKS, Container Apps)

Secondary (Good to Have):

• RAG Systems & Prompt Orchestration Pipelines

• Model Optimization & Inference (Quantization, GGUF, ONNX, TensorRT)

POSITION OVERVIEW

This role sits within the enterprise AI and engineering department, reporting directly to the Director of Engineering, and is designed to solve critical scalability, deployment, and performance bottlenecks for production-grade large language models. The engineer will bridge the gap between experimental data science and robust enterprise infrastructure, ensuring high-throughput, secure, and cost-efficient AI capabilities across client-facing applications.

ROLES & RESPONSIBILITIES

• Design and implement end-to-end AI features, including RAG systems, agent workflows, embeddings pipelines, and fine-tuned LLM applications

• Build and maintain data ingestion, chunking, embedding, retrieval, and prompt orchestration pipelines

• Fine-tune and evaluate open-source and proprietary LLMs using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning

• Deploy and serve custom LLMs in Azure environments using Azure Machine Learning, AKS, Container Apps, or related services

• Optimize inference performance using quantization, batching, model parallelism, and GPU-aware serving strategies

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Fi...