Loading...
Mid LevelFull-timePythonGoRustAWSDockerMachine LearningAIData ScienceTensorFlowPyTorch
About the Role
We are looking for an AI Machine Learning Research & Development Engineer to join our global team. This role focuses on designing, developing, and implementing machine learning solutions to serve our organization, with ownership of projects from conception to deployment. The position involves working with AWS services, Docker, ML Flow, and other technologies to optimize model performance.
Key Responsibilities
- →Design and develop machine learning models and algorithms for localization and business workflow processes
- →Take ownership of key projects from definition to deployment, ensuring technical requirements are met
- →Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
- →Implement and optimize machine learning models using Python, TensorFlow, and other relevant tools
- →Deploy machine learning models using containerization and cloud infrastructure like AWS
- →Use AWS technologies such as Sagemaker, EC2, and S3 to deploy and monitor production environments
- →Document and communicate about ML experimentation, design, and deployment
Requirements
- ✓Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a similar field
- ✓Minimum 3+ years of experience as a Machine Learning Engineer or similar role
- ✓Ability to write robust, production-grade code in Python
- ✓Strong knowledge of machine learning techniques including supervised and unsupervised learning
- ✓Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn
- ✓Experience with natural language processing (NLP) techniques and tools
- ✓Experience with AWS technologies, including EC2, S3, and deployment strategies
- ✓Experience with ML management technologies such as Docker and GPU deployments
