Data Scientist / Machine Learning Engineer - This is a hands-on role combining applied machine learning, cloud engineering, and data pipeline development, with a strong focus on AI Content Moderation and Recommendation Engine systems. Key ResponsibilitiesTake ownership of end-to-end ML production deployment, building and shipping new models largely from scratch, with responsibility for architecture, deployment pipelines, and operational reliability in collaboration with backend engineering. - Design, train, deploy, and maintain machine learning models for production use, including AI Content Moderation and Recommendation Engine features- Build and integrate backend infrastructure to support ML models and data pipelines- Work with cloud-based systems to manage model training, deployment, and monitoring- Improve data ingestion pipelines and feature engineering processes- Develop scalable, reliable ML services in collaboration with backend engineering- Collaborate closely with engineering and product teams to gather requirements and deliver solutions- Communicate progress proactively and contribute to technical decision-makingRequired Experience- 3 years of professional experience in Data Science, Machine Learning, or AI-related roles- Strong Python proficiency for ML development and data processing- Hands-on experience building and deploying ML models into production environments- 2 years of practical experience working with AWS infrastructure- Solid background in Computer Science, Data Science, or a related technical disciplineRequired Technical Skills- Python (advanced)- Production ML model development and training- Experience building content moderation systems and/or recommendation engines- AWS (deployment and infrastructure management), including:- AWS Lambda- AWS SQS- AWS DynamoDB- AWS Kinesis or Kafka- Experience with at least one ML framework:- PyTorch or TensorFlow