PbDuties and Responsibilities /b /pullibModel Development: /b Design, train, and deploy AI/ML models for core product features, including AI Content Moderation and a Recommendation Engine.
/lilibBackend Setup Integration: /b Implement and manage the necessary backend infrastructure to support the ML models and data pipelines.
/lilibCloud Infrastructure: /b Utilize AWS services for model training, deployment, and monitoring.
/lilibData Pipeline: /b Contribute to the improvement of the data pipeline for efficient data ingestion and feature engineering.
/lilibCollaboration: /b Engage in proactive communication with the internal team to understand requirements and provide progress updates.
/li /ulpbr/ppbIdeal Candidate Location /b /pullibRemote: /b This is a remote position.
/lilibPreferred Regions: /b Candidates must be based in Europe or be fully available to work during European business hours.
/li /ulpbr/ppbQualifications /b /pullibExperience: /b At least 3 years of professional work experience in a Data Science, Machine Learning, or AI-related field.
/lilibAWS Experience: /b At least 2 years of work experience with AWS.
/lilibEducation: /b Strong background in Computer Science, Data Science, or a related technical field.
/lilibMust-have Technical Skills: /b /lilibHigh proficiency in Python /b.
/liliProfessional experience with bData Science /b and bAI model training /b.
/liliHands-on experience with bAWS /b (deployment and infrastructure management).
/liliFurther Tech-Skills required: AWS SQS, AWS DynamoDB, AWS Lambda, AWS Kinesis or Kafka, PyTorch or Tensorflow /lilibSoft Skills: /b Excellent bproactive communication /b skills and a desire to work closely with development and product teams.
/li /ulpbr/ppbWorking Hours and Timezone /b /pullibTimezone: /b Candidates must align their working day with bCET (Central European Time) /b or bEET (Eastern European Time) /b.
/lilibSchedule: /b Standard professional hours (approx. 9:00 AM – 6:00 PM CET) /li /ul