Kake
Senior Data Engineer (AI/ML & Azure)
9 ч. назад
Страна неизвестнаSeniorRemoteC1
pythonazure data factoryazure machine learningmicrosoft fabric
Looking for a Senior Data Engineer with strong AI/ML focus to join a remote data engineering team supporting modern data and AI initiatives at Kake, a technology company building modern web applications for consumer products.
About the company
- Kake is a technology company building modern web applications for consumer products.
Responsibilities
- Design, build, and maintain scalable data pipelines and data engineering solutions.
- Develop and manage data workflows using Python and Azure Data Factory.
- Work with Microsoft Fabric to build and support modern data solutions.
- Leverage Azure Machine Learning and related technologies to support AI/ML initiatives.
- Prepare, transform, integrate, and optimize data for analytics, machine learning, and AI use cases.
- Collaborate directly with clients to understand requirements and translate business needs into technical solutions.
- Communicate technical concepts, architecture decisions, and recommendations clearly to technical and non-technical stakeholders.
- Collaborate with data scientists, engineers, and other stakeholders to deliver data and AI solutions.
- Identify opportunities to improve data pipelines, processes, and AI/ML workflows.
Requirements
- Strong professional experience in Data Engineering.
- Strong hands-on experience with Python.
- Experience with Azure Data Factory.
- Experience with Azure Machine Learning or similar Azure AI/ML services.
- Experience with Microsoft Fabric.
- Solid understanding of data pipelines, data transformation, and modern data architectures.
- Strong understanding of AI/ML concepts and workflows.
- Experience working directly with clients or other external stakeholders.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote, fast-paced environment.
Nice to have
- Experience productionizing machine learning models or AI solutions.
- Experience with additional Azure data and AI services.
- Experience with LLMs, Generative AI, or AI-powered applications.
- Experience in consulting or other client-facing technical environments.
Conditions
- US Timezone Overlap: 6-7h with PST.
- Strong client-facing presence and ability to communicate complex technical concepts clearly.
- An AI-forward mindset and genuine interest in applying emerging AI technologies to data engineering problems.