Machine Learning Engineer

Tasks

• Build and maintain data pipelines
• Conduct experiments and evaluate model performance
• Deploy models into production environments
• Design and develop machine learning models
• Ensure compliance with data privacy and security standards
• Implement MLOps practices including CI/CD and monitoring
• Integrate model outputs into telemedicine platforms
• Optimize models for accuracy and efficiency
• Perform model fine-tuning and localization

Perks/Benefits

• Flexible work arrangements
• Opportunity to impact healthcare access
• Work in a dynamic, innovative environment

Skills/Tech-stack

Data pipeline | Docker | Kubernetes | Language Processing | MLOps | Natural Language | Natural Language Processing | PyTorch | Python | Speech Recognition | TensorFlow