
Ai/ML Engineer
6 days ago
- Fine-tune models using LoRA adapters.
- Build and optimize composite loss functions for multiple use cases.
- Perform hyperparameter tuning (learning rate, rank, dropout, etc.) when needed.
- Automate nightly training workflows with model-specific weights.
- Integrate and manage DB for live data caching and streaming.
- Implement data transfer between PostgreSQL instances (online local).
- Maintain efficient data preprocessing pipelines for training datasets (synthetic + real).
- Collaborate on model evaluation metrics and validation strategies.
Preferred Candidate Profile
- 2+ years in AI/ML engineering or applied machine learning.
- Hands-on with PyTorch (or similar deep learning frameworks).
- Strong understanding of LoRA fine-tuning and parameter-efficient training.
- Experience with large language models.
- Familiarity with equivalent optimization frameworks.
- Knowledge of Database Wrangling
- Skilled in Python for training orchestration and data processing.
- Comfortable working with cron/systemd or equivalent schedulers for pipeline automation.
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