Data Scientist / Machine Learning Engineer
(Mid–Senior Level)
12 month contract
Remote
Overview
We are looking for an experienced Data Scientist / Machine Learning Engineer to design, build, and deploy production-grade ML models while supporting the backend infrastructure required to run them at scale. 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 Responsibilities
Take 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-making
Required 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 discipline
Required 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