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 with Data Science and AI model training.
Hands-on experience with AWS (deployment and infrastructure management).
Further Tech-Skills required: AWS SQS, AWS DynamoDB, AWS Lambda, AWS Kinesis or Kafka, PyTorch or Tensorflow
Soft Skills: Excellent proactive communication skills and a desire to work closely with development and product teams.
Working Hours and Timezone
Timezone: Candidates must align their working day with CET (Central European Time) or EET (Eastern European Time).
Schedule: Standard professional hours (approx. 9:00 AM – 6:00 PM CET)