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Azure Machine Learning Engineer
3 months ago
We are looking for Azure Machine Learning Engineer - Permanent - SC Cleared
Find out if this opportunity is a good fit by reading all of the information that follows below.Job Overview:
Looking for an Azure Machine Learning engineer to join our team of Data Scientists.
The candidate will be joining a team who are experienced data scientists, but with less experience in Microsoft Azure tools (e.g. Microsoft Machine Learning and Azure AI). They should help with the upskilling of the team in these tools as well as being part of a team delivering pilot use cases in Azure.
Responsibilities Include:
Experience in working with Microsoft Azure technologies for machine learning and AI, including good knowledge of cloud architecture and networking for Azure-specific solutions.
- Experience in Infrastructure as Code deployments
- Experience in data pipelines for machine learning workflows.
- Experience in deploying machine learning models and large language models.
- Experience in establishing CI/CD pipelines.
- Proficiency in programming with Python plus any additional programming languages.
- Strong foundations in data science methods and best practices.
- Experience with open-source machine learning libraries and deep learning frameworks.
- Experience with at least one big data framework.
- Record of having been part of a team that has deployed one or more digital products to users successfully.
- Strong awareness of ethical issues and privacy considerations in deploying artificial intelligence solutions.
- Strong communication skills and the ability to work well with cross-functional collaborators and stakeholders.
- Focus on continuous learning.
- Assist with Azure pilot projects, leveraging strong experience in Azure and delivering ML pipelines and using Azure Machine Learning Studio.
- Develop and implement ML models, pipelines, CI/CD processes, and work with technologies such as OpenAI, search, NLP, and document intelligence.
- Utilize expertise in Python programming.
- Demonstrate a solid understanding of CI/CD methodologies.
- 8-10 y
