Machine Learning Engineer, R-ai technologies

• You have 3+ years of practical experience building and deploying machine learning systems
• Strong proficiency in Python and ML frameworks (PyTorch or TensorFlow)
• Experience with transformer architectures and attention mechanisms
• Knowledge of multimodal models that combine text and numerical data
• Experience with synthetic data generation and augmentation techniques
• Practical understanding of AWS services for ML workloads (SageMaker, Lambda, etc.)
• Familiarity with containerization using Docker for model deployment
• Strong understanding of RESTful API design and implementation
• Ability to work in a fast-paced startup environment with minimal supervision

Desirable

• Help refine and deploy our system and prepare it for beta launch within 3 months

• Apply with your profile
• Video call with our CTO (30 mins)
• Video call with our CEO (30 mins)