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ML/AI Engineer

  • Engineer, BC, Canada

Full-time

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Job details

Job type
Full-time
Experience
5+ years of experience in Machine Learning/AI
Posting language
English
Posted

Original job description

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ML/AI Engineer

We're seeking an experienced engineer to fine-tune open source models, train them on custom datasets, and deploy them to production using GPU infrastructure on platforms like fly.io.

Requirements

  • 5+ years of experience in Machine Learning/AI
  • Strong Python programming skills
  • Experience with PyTorch or TensorFlow
  • Knowledge of MLOps and model deployment
  • Experience with large language models and fine-tuning

Responsibilities

  • Fine-tune open source models for specific use cases
  • Train models on custom datasets
  • Deploy and maintain ML models in production
  • Optimize model performance and infrastructure costs
  • Collaborate with the team on AI strategy and implementation

Email us at info@brock.software
More about this job

Responsibilities

Fine-tune open-source models for specific use cases, train models on custom datasets, and deploy and maintain machine learning models in production. Optimize model performance and infrastructure costs, and collaborate with the team on AI strategy and implementation.

Requirements

Requires 5+ years of experience in machine learning or AI and strong Python programming skills. Candidates should have experience with PyTorch or TensorFlow, knowledge of MLOps and model deployment, and experience with large language models and fine-tuning.

Skills

  • Machine Learning
  • Artificial Intelligence
  • Python
  • PyTorch
  • TensorFlow
  • MLOps
  • Model Deployment
  • Large Language Models
  • Model Fine-Tuning
  • Custom Datasets
  • GPU Infrastructure
  • Model Performance Optimization
  • Infrastructure Cost Optimization

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Data & Analytics
  • Engineering

Keywords

  • Machine Learning
  • Artificial Intelligence
  • Python
  • PyTorch
  • TensorFlow
  • MLOps
  • Large Language Models
  • Open-Source Models
  • Model Fine-Tuning
  • Custom Datasets
  • Model Training
  • Model Deployment
  • Production
  • GPU Infrastructure
  • Fly.io
  • Model Maintenance
  • Model Performance Optimization
  • Infrastructure Cost Optimization
  • AI Strategy
  • Software Development

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