Senior Vision-Language AI Engineer | TS/SCI Clearance

AIToolboard; Springfield (MA); On-site; USD 150,000 - 230,000; Full time

Job summary

Aqua IT Springfield, US is seeking a seasoned ML engineer to design and execute fine-tuning pipelines for Vision-Language Models on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization.

You will build evaluation frameworks for multimodal performance and prototype scalable AWS SageMaker training, collaborating to iterate on model architectures and optimization techniques.

Qualifications

• 5+ years of professional ML engineering experience with a focus on deep learning.
• 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs).
• Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters).
• Strong Python development for ML workloads (4+ years).
• Proficiency with PyTorch and HuggingFace ecosystem.

Responsibilities

• Design and execute fine-tuning pipelines for VLMs on domain imagery.
• Develop evaluation frameworks for multimodal model performance.
• Build scalable training infrastructure on AWS (SageMaker, EC2 GPU).
• Engineer data pipelines for geospatial imagery datasets for model-ready formats.
• Collaborate to iterate on model architectures and inference optimization.

Skills

Machine learning engineering

Python

PyTorch

HuggingFace

Distributed training

CI/CD for ML

Computer vision

Tools

SageMaker

EC2 GPU

DeepSpeed

Megatron

FSDP

Docker

ECR

ECS/EKS

TensorRT

ONNX

PyTorch

Weights & Biases

SageMaker Experiments

Job description

Aqua IT Springfield, US is seeking a seasoned ML engineer to design and execute fine-tuning pipelines for Vision-Language Models on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization.

You will build evaluation frameworks for multimodal performance and prototype scalable AWS SageMaker training, collaborating to iterate on model architectures and optimization techniques.