EXPIRED-Machine Learning and Data Engineer / ro-983

Location
CH-Basel
Start
01.05.2024
End
31.12.2024
Workload
100 %
All-in / Hour
rate negotiable
Total Hours
1400

Deadline:

Deadline
EXPIRED

 

EXPIRED-Machine Learning and Data Engineer / ro-983

Location
CH-Basel
Workload
100 %

Start

01.05.2024

End

31.12.2024

DEADLINE

Deadline
EXPIRED

  • CH-Basel
  • Applications have closed
  • CH-Basel01.05.202431.12.2024100 % 1400rate negotiableDeadline
    EXPIRED

For our customer located in Basel/Switzerland we are currently looking for a: Machine Learning and Data Engineer (m/f/d)

 

  • latest Start Date: 1.7.2024
  • Extension (in case of limitation): possible
  • Workplace: Basel, Zürich
  • Workload: 100%
  • Remote/Home Office: partially remote, partially in Basel
  • Travel: no

Tasks & Responsibilities

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.

  • 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

Did we catch your interest?

The SimplyVision-Team is looking forward to receive your application (Word file is highly appreciated).

Kindly be informed that our customer is located in Switzerland. Therefore only applications from candidates within the EU or candidates holding Swiss work permission are required.

Preferred Interview Dates

  • Interviews will take place from 29.04.2024
  • CH-Basel
  • Applications have closed
  • CH-Basel01.05.202431.12.2024100 % 1400rate negotiableDeadline
    EXPIRED

For our customer located in Basel/Switzerland we are currently looking for a: Machine Learning and Data Engineer (m/f/d)

 

  • latest Start Date: 1.7.2024
  • Extension (in case of limitation): possible
  • Workplace: Basel, Zürich
  • Workload: 100%
  • Remote/Home Office: partially remote, partially in Basel
  • Travel: no

Tasks & Responsibilities

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.

  • 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

Did we catch your interest?

The SimplyVision-Team is looking forward to receive your application (Word file is highly appreciated).

Kindly be informed that our customer is located in Switzerland. Therefore only applications from candidates within the EU or candidates holding Swiss work permission are required.

Preferred Interview Dates

  • Interviews will take place from 29.04.2024

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