Senior Machine Learning Engineer - Kubogent

This is a hands-on engineering role focused on turning real-world machine learning workflows into reliable product capabilities within the Kubogent platform. You will work across the entire model lifecycle, from data preparation and training to building reusable inference workflows and MLOps pipelines. Responsibilities: - Build the platform's model training capabilities by designing reusable training and fine-tuning workflows for various ML models, including large language models - Build inference workflows, including model loading, serving, batching, and evaluation - Perform hands-on model development, training, fine-tuning, evaluation, debugging, and iteration - Build MLOps pipelines covering experimentation, training, evaluation, model registration, versioning, and deployment - Integrate experiment and model lifecycle tooling, such as MLflow Qualifications: - 4-8 years of relevant engineering experience, with substantial hands-on work building and training ML systems - Hands-on experience training or fine-tuning large language models - Strong Python skills and hands-on experience with mainstream ML frameworks such as PyTorch or TensorFlow - Experience with the modern LLM ecosystem, including Hugging Face Transformers