Duties and Responsibilities Model Development:Design, train, and deploy AI/ML models for core product features, including AI Content Moderation and a Recommendation Engine. Backend Setup & Integration:Implement and manage the necessary backend infrastructure to support the ML models and data pipelines. Cloud Infrastructure:Utilize AWS services for model training, deployment, and monitoring. Data Pipeline:Contribute to the improvement of the data pipeline for efficient data ingestion and feature engineering. Collaboration:Engage in proactive communication with the internal team to understand requirements and provide progress updates.Ideal Candidate Location Remote:This is a remote position. Preferred Regions:Candidates must be based in Europe or be fully available to work during European business hours.Qualifications Experience:At least 3 years of professional work experience in a Data Science, Machine Learning, or AI-related field. AWS Experience:At least 2 years of work experience with AWS. Education:Strong background in Computer Science, Data Science, or a related technical field. Must-have Technical Skills: High proficiency in Python. Professional experience withData ScienceandAI model training. Hands-on experience withAWS(deployment and infrastructure management). Further Tech-Skills required: AWS SQS, AWS DynamoDB, AWS Lambda, AWS Kinesis or Kafka, PyTorch or Tensorflow Soft Skills:Excellentproactive communicationskills and a desire to work closely with development and product teams.Working Hours and Timezone Timezone:Candidates must align their working day withCET (Central European Time)orEET (Eastern European Time). Schedule:Standard professional hours (approx. 9:00 AM – 6:00 PM CET)