Key Responsibilities
- Develop and maintain scalable data pipelines for AI/ML workloads
- Implement machine learning models using Python and relevant frameworks
- Collaborate with cross-functional teams to integrate data solutions
- Optimize data processing workflows for performance and reliability
- Ensure data quality and governance across systems
- Participate in code reviews and contribute to best practices
Requirements
- Proficiency in Python and data manipulation libraries
- Experience with machine learning frameworks like TensorFlow or PyTorch
- Strong SQL skills and familiarity with databases
- Understanding of data pipeline architectures and ETL processes
- Basic knowledge of cloud platforms (AWS/GCP/Azure) is a plus