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)