AI/ML Engineer

3–6 years of professional experience in ML engineering, data science, or related roles Hands-on experience with AWS services including SageMaker, Lambda, Step Functions, S3, and DynamoDB Proficient in Python and ML frameworks such as TensorFlow Proficient in Typescript and React Solid understanding of data engineering concepts: ETL, batch/streaming pipelines, and data validation Familiar with containerization (Docker), CI/CD pipelines, and MLOps workflows Strong collaboration and communication skills

Design, train, and deploy machine learning models using AWS-native tools Collaborate with data engineers to build and maintain data pipelines Fine-tune and optimize models for scalability, accuracy, and production readiness Implement MLOps best practices including CI/CD, model versioning, monitoring, and automated retraining Monitor model performance, detect drift, and implement automated alerts Work with cross-functional teams to integrate AI capabilities into user-facing features Share knowledge through code reviews, documentation, and architecture discussions