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ML/AI Engineer

  • Engineer, BC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

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

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Original job description

Archived listing. The details below describe a past opening.

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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

The role involves fine-tuning open source models on custom datasets and deploying them to production using GPU infrastructure. Additionally, the engineer will optimize model performance and collaborate on AI strategy.

Requirements

Candidates need over 5 years of experience in ML/AI with strong Python skills and proficiency in PyTorch or TensorFlow. Knowledge of MLOps and experience with large language models is required.

Skills

  • Machine Learning
  • Artificial Intelligence
  • Python
  • PyTorch
  • TensorFlow
  • MLOps
  • Model Deployment
  • Large Language Models
  • Fine-tuning
  • GPU Infrastructure

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Science & Research

Keywords

  • ML/AI Engineer
  • Open Source Models
  • Custom Datasets
  • GPU Infrastructure
  • Fly.io
  • Python
  • PyTorch
  • TensorFlow
  • MLOps
  • Large Language Models
  • Fine-tuning
  • Model Optimization
  • Software Development

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