Data and Machine Learning Engineer Opportunity Stable and secure permanent full-time role with a competitive salary and benefits.
Flexibility and access to professional development.
Immediate start with a salary range of $70k - $85k p.a plus Superannuation.
About Us We are an IT consulting and services company focusing on Data Analysis, Data Visualization, Big Data, Machine Learning, Web Development, and Cloud Services based in Victoria.
Role Description 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.
Key Responsibilities: Python Development: Write high-quality, production-level Python code. ML Knowledge: Utilize Python ML packages, 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 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; 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. Qualifications: Minimum of 5 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) and 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 a 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. Benefits: Flexible hybrid work arrangements. Exposure to cutting-edge ML and AR projects. Opportunity to collaborate with a talented and innovative team. Job Type: Full-time
Salary: $70,000.00 – $85,000.00 per year plus Superannuation.
Schedule: 8 hour shift. Ability to Commute/Relocate: Melbourne VIC: Reliably commute or planning to relocate before starting work (Preferred). Work Authorisation: Australia (Preferred). Date Posted: 15 Oct 2024
Work Location: Hybrid remote in Ballarat, VIC 3350.
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