Data and Machine Learning Engineer

We are looking for an exceptional software engineer with a focus on Machine Learning and Artificial Intelligence. This position will join our Machine Learning (ML) team, and play a key role in the development, and implementation of cutting-edge machine learning software solutions.

Benefits

Flexible hybrid work arrangements
Exposure to cutting-edge ML and AR projects.
Opportunity to collaborate with a talented and innovative team.

Task & Responsibilities

Python Development: Write high-quality, production-level Python code.
ML Knowledge: Utilise Python ML packages in your work, develop and implement best practice ML model management and governance frameworks, including data quality management and data security.
Software Development: Develop and maintain code adhering to best practices and software engineering standards.
Automated Machine Learning (AutoML): Experience with AutoML tools and libraries to streamline the process of model selection, hyperparameter tuning, and feature engineering.
Version Control: Use version control systems and engage in paired programming with team members.
Cloud Environment: Work within an Azure cloud environment, although experience with other cloud frameworks is acceptable.
DevOps and Containers: Gain an understanding of data pipelines, Docker, and containers, with a dedicated specialist available for hands-on experience.
ML Frameworks: Collaborate with the team using PyTorch and ONNX.
Database Expertise: Leverage SQL databases and explore opportunities for database automation or Vector database implementation.
Model Evaluation and Selection: Proficiency in selecting appropriate evaluation metrics, cross-validation strategies, and statistical techniques to assess model performance accurately.

Qualification & Experience

We are seeking someone with a minimum of 3 years’ experience with Python and related technologies, such as type hinting, package management, and Pythonic testing.
Experience in ETL for BI and reporting purposes (Python and SQL) is important, as well as experience developing secured APIs to provide access to data and software services.
Proficiency in Python development for production-level applications.
Working knowledge of Python ML packages.
Familiarity with version control systems and paired programming.
Experience or understanding of cloud environments (Azure preferred).
Expertise in programming languages such as Python, and proficiency with machine learning libraries/frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
Background in DevOps practices, data pipelines, Docker, and containers is a plus.
Familiarity with PyTorch and ONNX is advantageous.
Experience with SQL databases; knowledge of database automation or Vector database is highly desirable.
Agile methodology experience.

Nice to have

Knowledge of workflow orchestration tools like Apache Airflow, Composer
Knowledge of ML algorithms, or passion to learn new skills
Experience with Test-Driven Development (TDD), Behaviour Driven Development (BDD)
Experience building Machine Learning pipelines
Experience with Google Cloud
Experience in ML Ops/DevOps

About Company

We are an IT consulting and services company focusing on Data Analysis, Data visualisation, Big Data, Machine learning, Web development and Cloud services based in Victoria.

Benefits

Task & Responsibilities

Qualification & Experience

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