We are looking for a Data Engineer for our client, a top German public transport company.
Summary
• Term: 8 October 2024 – 31 December 2024 (58 workdays)
• Location: nearshore Germany, 3 on-site days
• Project: Machine Learning-based Models and Pipelines in the AWS Cloud
Project context
The services of the contractor (service provider) will ensure that the appropriate ML models and pipelines are designed and developed. In addition, support is needed in the conception and coordination with the client. This requires the planning and coordination of workshops. Advice on the commissioning of the ML models and pipelines is required.
Services to be provided
• The task will be to drive the development of novel innovative AWS cloud-based machine learning models and pipelines.
• Development of MLOps pipelines and ML models
• Technical support in the development of IT infrastructure
• Creation of APIs and integration of data into applications
• Automation of data processes
• Exploring ways to improve data quality and reliability
Must have requirements
• Experiences with AWS Services and Tools: At least 3 years of experience, proven by at least 1 project reference
• Experiences with Amazon SageMaker: At least 3 years of experience, proven by at least 1 project reference
• Knowledge of the programming languages Python/SQL: At least 3 years of experience, proven by at least 1 project reference
• Data science and machine learning skills: At least 3 years of experience, proven by at least 1 project reference
Target technical requirements
• AWS Tools/Services: S3, Lambda, Docker, EC2, DynamoDB, CloudFormation, CloudWatch, CloudTrail, BO-TO3, aws-cli: At least 3 years of experience, proven by at least 1 project reference
• Amazon SageMaker: MLOps Pipe-line Construction, Model Response, Debug, Endpoints: At least 3 years of experience, proven by at least 1 project reference
• Data science/machine learning skills: XGBoost, pandas, data mining, feature engineering: At least 3 years of experience, proven by at least 1 project reference
• Strong analytical skills with the ability to collect, organize, analyze and disseminate large amounts of information, with attention to detail and accuracy: At least 2 years of experience, proven by at least 1 project reference
