ZipRecruiter

Log In

1

Freelance Computer Vision Deep Learning Engineer Jobs in Chicopee, MA

Varsity Tutors

Machine Learning Tutor

Northampton, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Scikit learning, Scipy) * Understanding and 1+ yrs of working experience with Deep learning frameworks Skills/Certifications/Licenses: * Nice to have AWS solution architecture and developer ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

... computer science. The team operates at the intersection of cutting-edge research and enterprise ... LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and ...

Network Designs Inc.

AI Integrator

Chicopee, MA · On-site

$167K - $196K/yr

Bachelor 's degree in Engineering, Computer Science, or a related field.Minimum of 12+ years of ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

Network Designs

AI Integrator #1744026

Chicopee, MA · On-site

Bachelor's degree in Engineering, Computer Science, or a related field. * Minimum of 12+ years of ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

Network Designs Inc.

AI Integrator #1744026

Chicopee, MA · On-site

$167K - $196K/yr

Bachelor's degree in Engineering, Computer Science, or a related field. * Minimum of 12+ years of ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics ... Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to ...

next page

Showing results 1-20

All JobsComputer Vision Deep Learning Engineer JobsFreelance Computer Vision Deep Learning Engineer JobsFreelance Computer Vision Deep Learning Engineer Jobs in Chicopee, MA

Freelance Computer Vision Deep Learning Engineer information

See Chicopee, MA salary details

$14

$47

$132

How much do freelance computer vision deep learning engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for freelance computer vision deep learning engineer in Chicopee, MA is $47.96, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $62.12 per hour, depending on experience, location, and employer.

What cities near Chicopee, MA are hiring for Freelance Computer Vision Deep Learning Engineer jobs?

Cities near Chicopee, MA with the most Freelance Computer Vision Deep Learning Engineer job openings:

Freelance Computer Vision Deep Learning Engineer jobs near you

Computer Vision & AI/ML Engineer Jobs

AIToolboard

Springfield, MA • On-site

$150 - $230/hr

Other

Posted 20 days ago

Job description

Aqua IT Springfield, US

Full-time

About the Role

Description of Services/Responsibilities:

  • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
  • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
  • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
  • Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
  • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques
Basic Requirements
  • TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts
  • Must be willing to work in SCIF daily or as needed
  • 5+ years of professional machine learning 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)
  • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
  • 4+ years of advanced Python development for ML workloads
  • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
  • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
  • 3+ years of experience with computer vision or multimodal models
  • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
  • Experience processing and augmenting image datasets at scale
  • 3+ years of experience with AWS ML infrastructureSageMaker Training jobs, Processing jobs, and endpoint deploymentGPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)S3 data management for large-scale training datasets
  • 2+ years of experience building ML evaluation pipelinesAutomated benchmarking, metric computation, and result analysisExperience with both quantitative metrics and qualitative/human evaluation approaches
  • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)
Preferred Qualifications
  • 2+ years of experience with geospatial or remote sensing imagery
  • Familiarity with electro-optical and SAR satellite imagery formats and characteristics
  • Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
  • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
  • Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
  • Familiarity with data annotation platforms and active learning workflows for imagery
  • Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
  • 2+ years of experience with Authority to Operate (ATO) processes in government environments
  • Implementation of NIST 800-53 controls and security compliance for ML systems
  • Experience deploying models in air-gapped or disconnected environments
  • Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
  • Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
  • Experience with synthetic data generation for training data augmentation

Complete items below line after a partner is selected

#J-18808-Ljbffr

Apply