Data Engineer

Job Description:

Work Experience & Skills:

Role 1 (ML engineer - manager)

• 7+ years of hands-on experience working as an MLE/MLOps or Full-stack Engineer
• Strong software design & development experience in TypeScript with NodeJS 
• Experience in building and scaling Machine Learning services (APIs) on AWS – API Gateway, Serverless Computing, Caching, Storage and Database concepts using AWS CDK. Familiarity with EKS is a plus.
• Strong in architecture, data structures & algorithms and familiarity with open-source AI/ML tools and frameworks (e.g. PyTorch, Keras, TensorFlow and TFServ)
• Experience working in scrum teams with Agile tools like Jira, Miro, Confluence, etc.

In addition to the technical skills, all our team members are evaluated on organisation-defined Capabilities, which for these roles are:

• Innovative: To design forward-thinking, scalable solutions aligned with business goals.
• Drives Results: To deliver tangible outcomes at speed while navigating complexity and ambiguity.
• Collaborates: To work seamlessly with data scientists, engineers, and tech counterparts, fostering strong partnerships.
• Inspiring Communication: To translate technical concepts into actionable strategies for both technical and non-technical stakeholders.
• Openness: To tackle challenges constructively, seek feedback, and create an environment of trust and collaboration

Hands-on delivery also expected

Role 2 (ML engineer - senior engineer)

Expectations for the ML Engineer (3+ years of experience) would be similar from a tech stack point of view but they will be more hands-on development / execution as opposed to design & strategy that the senior / lead would be involved in.

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