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 onAI Content ModerationandRecommendation Enginesystems.
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, includingAI Content ModerationandRecommendation Enginefeatures
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 buildingcontent 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