ML/AI Engineer
The engineer will fine-tune open source models on custom datasets and deploy them to production using GPU infrastructure. They will also optimize model performance and collaborate on the overall AI strategy.
- On-site
- Engineer, BC
- Posted Jul 16, 2026
- Apply by Sep 11, 2026
- 1 position
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Job summary
Back to Careers 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 [email protected]
What you’ll do
The engineer will fine-tune open source models on custom datasets and deploy them to production using GPU infrastructure. They will also optimize model performance and collaborate on the overall AI strategy.
Requirements
Candidates need over 5 years of experience in ML/AI with strong Python skills and proficiency in PyTorch or TensorFlow. Experience with LLMs, fine-tuning, and MLOps is required.
Listed skills
- Machine learningPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Machine Learning
- Artificial Intelligence
- Python
- PyTorch
- TensorFlow
- MLOps
- Model Deployment
- Large Language Models
- Fine-tuning
- GPU Infrastructure
Job areas
- Technology
- Software
- Engineering
- Data & Analytics
- Science & Research
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 11, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
