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Ai engineer

Melbourne
PI-NEURON
Posted: 12 February
Offer description

About PI-Neuron
PI-Neuron is an AI technology company that empowers organisations with practical, responsible, and impactful artificial intelligence solutions. We partner with businesses and government agencies to automate processes, gain data-driven insights, and implement intelligent systems that deliver measurable outcomes. Our mission is to turn advanced AI into real-world value while upholding ethical and trustworthy practices.
Job Overview
We are seeking a talented and motivated AI Engineer to join our AI Engineering & Innovation team. You will work on designing, building, and deploying scalable AI systems and solutions that address real-world challenges across a variety of industries. This is an exciting opportunity to contribute to meaningful AI initiatives and grow your technical expertise in a collaborative, impact-focused environment.
Key Responsibilities

• Design, develop, and implement machine learning and deep learning models tailored to solve complex business problems.

• Build production-ready AI solutions that are scalable, robust, and maintainable.

• Collaborate with data engineers and cross-functional teams to collect, preprocess, and optimise data for training and inference.

• Integrate AI models into applications, APIs, or services that deliver value to stakeholders.

• Stay up to date with the latest advances in AI research, tools, and best practices, and contribute to internal knowledge sharing.

• Ensure AI system design and development adhere to ethical standards, fairness, and transparency principles.
Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

• Strong programming skills in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Proven experience building, training, and deploying AI/ML models in production environments.

• Familiarity with cloud platforms such as AWS, GCP, or Azure and deploying scalable systems.

• Solid understanding of software engineering fundamentals and data pipelines.

• Excellent analytical and problem-solving skills, with an ability to translate business needs into technical solutions.
Preferred (Nice to Have)

• Experience with MLOps frameworks and tools for model deployment, monitoring, and automation.

• Knowledge of large language models (LLMs) and generative AI applications.

• Familiarity with CI/CD pipelines and infrastructure automation.
What We Offer

• A collaborative and agile work environment with opportunities for continuous learning and professional growth.

• The chance to work on impactful AI initiatives that make a measurable difference for clients.

• Mentorship from experienced practitioners and exposure to cutting-edge AI technologies.

• Competitive compensation, flexible work arrangements, and a supportive team culture.

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