Machine Learning/ Data Engineer
vor 1 Monat
You will be responsible for the end-to-end development and deployment of a semantic search vector database for research purposes.
This role entails a combination of skills in machine learning, data engineering and software development.
Location: Basel, Zürich + Home Office
Duration: Till the end of the year + possible extension
Workload: 100%
Tasks & Responsibilities:
⢠Integrate off-the-shelf open-source embedding models with the system to generate text embeddings from research publications and other text based sources.
⢠Design and implement the data processing pipeline to handle the conversion of PDF, XML or other files into a suitable format for text embedding.
⢠Set up and maintain the vector database infrastructure, ensuring efficient storage and retrieval of embeddings.
⢠Develop and maintain the API for semantic search, allowing for robust querying capabilities.
⢠Collaborate with stakeholders to gather requirements and ensure the system meets the needs of the organization.
⢠Conduct testing and quality assurance to ensure the reliability and accuracy of the search results.
⢠Document the system architecture, API usage, and operational procedures for future reference and maintenance.
Must Haves:
⢠Strong programming skills, particularly in Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch)
⢠Minimum 7 years Experience with data engineering tasks, including data extraction, transformation, and loading (ETL).
⢠Familiarity with vector database technologies (e.g., FAISS, Milvus, Elasticsearch) and database indexing.
⢠Knowledge of API development and best practices for scalability and security.
⢠Ability to work independently, manage multiple priorities, and communicate effectively with both technical and non-technical stakeholders.
⢠English fluent
Additional Information:
- Only Contractors with a completed education can be considered.
- Please upload your CV in English
- Applications are available until the 16th of April ( morning)If this role is appealing to you, show us your interest by sharing your CV ASAP
Speak soon
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