Job Summary
A company is looking for a Machine Learning Engineer to design, implement, and maintain ML solutions for secure, scalable, and data-driven decision-making.
Key Responsibilities
- Develop, train, and deploy machine learning models using AWS SageMaker and related cloud services
- Design and maintain end-to-end ML pipelines for data ingestion, training, testing, deployment, and monitoring
- Collaborate with data engineers and data scientists to ensure datasets are clean and ready for modeling
Required Qualifications
- 3-5 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
- Strong hands-on experience with AWS SageMaker for model development and deployment
- Proficiency with Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
- Bachelor's Degree
Comments