Senior ML Engineer - Vision & Multimodal (Remote)

AItoolnavio; United States; Remote; USD 134,000 - 168,000; Full time

Benefits offered by this job

Bonus opportunities and equity

Benefits package

Remote work within the United States

Full-time employment

Job summary

AItoolnavio is seeking a Senior Machine Learning Engineer based in the United States. You will lead development of computer vision and multimodal models, scale pipelines, and deploy models in production across cloud infrastructures.

The role emphasizes hands-on ML expertise, experimentation to production, and collaboration with cross-functional teams. You will fine-tune models, build evaluation frameworks, and help expand service capabilities into new markets while maintaining high engineering

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science or equivalent practical experience.
• At least 3 years of machine learning engineering experience.
• Proven experience deploying ML models in production environments.
• Strong Python skills and software engineering best practices.

Responsibilities

• Design, train, and optimize computer vision and multimodal models.
• Fine-tune models using LoRA and hyperparameter optimization.
• Build scalable data pipelines for model training and evaluation.
• Develop evaluation frameworks and performance metrics.
• Deploy ML models on scalable cloud infrastructure with monitoring.
• Integrate models into real-time processing systems including OCR and barcode decoding.
• Collaborate cross-functionally to improve workflows and systems.
• Promote engineering excellence through code reviews and documentation.
• Contribute to data infrastructure improvements.

Skills

Python

Machine learning

Analytical thinking

Communication

Education

Bachelor’s degree in CS/Engineering/Data Science or equivalent

Tools

PyTorch

Hugging Face Transformers

OpenCV

Docker

Kubernetes

GitHub Actions

Datadog

PEFT

vLLM

Job description

AItoolnavio is seeking a Senior Machine Learning Engineer based in the United States. You will lead development of computer vision and multimodal models, scale pipelines, and deploy models in production across cloud infrastructures.

The role emphasizes hands-on ML expertise, experimentation to production, and collaboration with cross-functional teams. You will fine-tune models, build evaluation frameworks, and help expand service capabilities into new markets while maintaining high engineering