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15009en
- Contract
- English
- Mid-Senior level
- Digital & Technology
- Rotkreuz, Basel
- Healthcare & Life Sciences
Cette offre a maintenant expiré
On behalf of our client, a multinational healthcare company based in Basel, Swisslinx is looking for a Machine Learning and Data Engineer.
General details about contract:
• Start date: ASAP
• End date: 31.12.2024
• Extension: Possible
• Location: Basel, Switzerland
• Hybrid Model: partially remote, partially in Basel
The perfect candidate brings:
The Machine Learning and Data Engineer will be responsible for the end-to-end development and deployment of a semantic search vector database for research purposes and pRED scientific needs. This role requires a combination of skills in machine learning, data engineering, and software development.
Responsibilities will include but not limited to:
• 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.
Does this sound like the next opportunity you want to take on?? Then apply now!! We look forward to receiving applications until the 16th April 2023.
General details about contract:
• Start date: ASAP
• End date: 31.12.2024
• Extension: Possible
• Location: Basel, Switzerland
• Hybrid Model: partially remote, partially in Basel
The perfect candidate brings:
The Machine Learning and Data Engineer will be responsible for the end-to-end development and deployment of a semantic search vector database for research purposes and pRED scientific needs. This role requires a combination of skills in machine learning, data engineering, and software development.
Responsibilities will include but not limited to:
• 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.
Does this sound like the next opportunity you want to take on?? Then apply now!! We look forward to receiving applications until the 16th April 2023.
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