EN
DEAI Engineer
Basel, Switzerland
| Posted: | 9d ago |
| Location: | Basel, Switzerland |
| Job Ref: | BH-49069 |
| Salary: | CHF800 - CHF900 per day |
| Expiry date: | 10/3/2024 |
We are seeking a highly skilled and innovative Data Engineer to join a Bank in Switzerland and develop AI-driven pilot and production applications. The work will focus on delivering a new PoC from Middle Office to pilot and enhancing existing ones.
The ideal candidate will have a strong background in data science, machine learning, software engineering, and familiarity with both back-end and front-end technologies. A proven track record of developing and deploying Generative AI solutions is essential.
This role would require full relocation to Switzerland.
Duties:
• Design AI application architectures and implement Python-based applications for various business use cases.
• Design and implement testing and evaluation methodologies for AI applications, focusing on Large Language Model applications.
• Collaborate with financial and business teams to understand the organization's financial structure and requirements.
• Conduct data exploration and preprocessing to prepare large unstructured datasets for analysis and modeling.
• Leverage Azure OpenAI APIs to implement AI applications, optimize their performance, and scale them effectively.
• Develop APIs and interfaces for integrating AI models into existing systems and platforms.
• Monitor, maintain, and update models as needed to ensure they continue to meet business needs.
• Stay updated with the latest AI trends, technologies, and best practices, and explore new tools and techniques to improve project outcomes.
Requirements:
• Around 5 years of experience as a Data Scientist/Engineer or similar role with a focus on machine learning and AI application development and deployment using Python.
• Experience in developing services based on Large Language Models, with familiarity in using frameworks such as LangChain and LlamaIndex. Experience with prompt engineering.
• Familiarity with vector databases (e.g., ChromaDB, Weaviate).
• Experience with Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, Pydantic, and requests.
• Familiarity with cloud platforms like Azure, AWS, and their off-the-shelf AI functionalities.
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent experience. (**)
The ideal candidate will have a strong background in data science, machine learning, software engineering, and familiarity with both back-end and front-end technologies. A proven track record of developing and deploying Generative AI solutions is essential.
This role would require full relocation to Switzerland.
Duties:
• Design AI application architectures and implement Python-based applications for various business use cases.
• Design and implement testing and evaluation methodologies for AI applications, focusing on Large Language Model applications.
• Collaborate with financial and business teams to understand the organization's financial structure and requirements.
• Conduct data exploration and preprocessing to prepare large unstructured datasets for analysis and modeling.
• Leverage Azure OpenAI APIs to implement AI applications, optimize their performance, and scale them effectively.
• Develop APIs and interfaces for integrating AI models into existing systems and platforms.
• Monitor, maintain, and update models as needed to ensure they continue to meet business needs.
• Stay updated with the latest AI trends, technologies, and best practices, and explore new tools and techniques to improve project outcomes.
Requirements:
• Around 5 years of experience as a Data Scientist/Engineer or similar role with a focus on machine learning and AI application development and deployment using Python.
• Experience in developing services based on Large Language Models, with familiarity in using frameworks such as LangChain and LlamaIndex. Experience with prompt engineering.
• Familiarity with vector databases (e.g., ChromaDB, Weaviate).
• Experience with Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, Pydantic, and requests.
• Familiarity with cloud platforms like Azure, AWS, and their off-the-shelf AI functionalities.
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent experience. (**)
Apply now
Contact:
Position:
Managing Consultant
Sector:
Data & Analytics
Contact Email:
Telephone: