Advanced Data Science Engineer

3 days ago

Brisbane, Queensland, Australia beBeeDataScience Full time $100,000 - $140,000
Job Title:

Data Science Application Engineer

Job Description

As a key member of our data science team, you will play a pivotal role in bridging the gap between data science and engineering.

You will be responsible for deploying machine learning pipelines, productionizing models, and streamlining orchestration processes.

Working closely with data scientists and occasionally with the software engineering and delivery team, you will deliver scalable and reproducible ML applications.

Key Responsibilities
  • Collaborate with data scientists to build and maintain ML and data pipelines using Databricks (PySpark, Delta Lake, MLflow).
  • Design and implement orchestration workflows using tools like Databricks Workflows.
  • Manage model deployment, versioning, and lifecycle using MLflow or similar tools.
  • Set up and monitor CI/CD pipelines for data science and ML applications.
  • Build simple backend services (e.g., REST APIs) or lightweight frontends to support demo applications or PoCs.
  • Ensure code quality, modularity, and reusability across pipelines and tools.
  • Contribute to documentation, tooling, and infrastructure to accelerate experimentation and delivery.
  • Work with DevOps/Infra teams to ensure scalable, secure, and efficient operation of ML services.
Required Skills and Qualifications
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Solid Python and SQL programming skills, especially in data and ML contexts.
  • 2-5 years' experience with Databricks or equivalent data platforms.
  • Familiarity with ML lifecycle tools (MLflow, etc.).
  • Understanding of modern orchestration tools.
  • Experience with Git and CI/CD tools (e.g., GitHub Actions, Azure DevOps).
  • Knowledge of REST API development (e.g., FastAPI, Flask) and basic frontend skills (optional but a plus).
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
Benefits

This is an exciting opportunity to join a talented team and contribute to the development of cutting-edge ML solutions.

As a valued member of our team, you will have access to ongoing training and professional development opportunities.

Our collaborative and dynamic work environment offers a great balance between challenge and support.

What We Offer

We are committed to creating a workplace that values diversity and inclusion.

Our team is passionate about delivering innovative solutions that make a real impact.

Join us and become part of a vibrant community that is shaping the future of data science and engineering.

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