Applied ML/AI Engineer (The Implementer)

• Assist the Lead Engineer in developing and deploying ML/AI models.
• Conduct model training, evaluation, and optimization for GNNs and LLMs.
• Perform fine-tuning and scaling of production-ready LLMs.
• Preprocess and manage datasets for ML experimentation and production.
• Use AWS SageMaker to manage training pipelines and deployments.
• Collaborate with backend and DevOps teams for seamless model integration.

Must have:

• At least 5yoe with ML/AI
• Strong experience with Python
• Experience with PyTorch or TensorFlow
• Hands-on knowledge of PyG (PyTorch Geometric) for GNNs
• Practical experience with LLM fine-tuning, optimization, and scaling
• Familiarity with data preprocessing pipelines
• Proficiency with AWS SageMaker for model training and deployment
• Degree in Computer Science, Machine Learning, or a related field
• English: Intermediate