Ayan Infotech are looking for an AI Designer for a 6+ months contract working remotely from within Australia.
Due to the nature of the work involved, all applicants must be Australian Citizens (with eligibility to obtain a baseline security clearance).
Title: AI Designer
Location: Remote (within Australia + Australian Citizen)
Type: Contract (6 months + contract to hire)
Required Skills and Experience:
Key Responsibilities
* Design and develop AI-driven solutions that address strategic business needs and enhance enterprise capabilities.
* Transform existing business processes to be AI-first or AI-enabled, ensuring seamless integration with current systems.
* Collaborate with cross-functional teams to identify AI opportunities and create roadmaps for AI implementation.
* Design within industry standards User Experience, Security, Financial discipline and Responsible AI guidelines and frameworks.
* Develop and maintain AI models, ensuring their relevance and effectiveness in addressing business challenges.
* Implement model management and AI governance practices to ensure compliance, transparency, and ethical AI usage.
* Integrate AI solutions into enterprise systems and workflows, optimizing for performance and scalability.
* Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and robustness.
* Model Development: Design, develop, and optimize AI and ML models to meet specific project needs.
* Data Analysis: Perform data collection, cleansing, and preprocessing to prepare robust datasets for modeling.
* Algorithm Selection: Assess and select appropriate algorithms and tools for model creation.
* Performance Evaluation: Evaluate model performance using relevant metrics and refine models as needed.
* Documentation: Maintain detailed documentation of model development processes, parameters, and outcomes.
* Collaboration: Work closely with cross-functional teams to integrate AI solutions into business operations.
* Innovation: Stay updated with the latest advancements in AI and ML technologies and implement best practices.
Technical Disciplines
* Data Science: Proficiency in data analysis, data mining, and data visualization techniques to extract valuable insights from large datasets.
* Modelling: Expertise in developing and deploying machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
* Process Design: Ability to design and optimize business processes, ensuring they are aligned with AI capabilities and objectives.
* Model Management: Experience in model lifecycle management, including versioning, monitoring, and retraining of AI models.
* Model and AI Governance: Knowledge of best practices in AI governance, including ethical considerations, bias mitigation, and regulatory compliance.
Required Skills and Competencies
* Data Science (DATS): Proficiency in data science techniques and methodologies to analyze complex datasets.
* Machine Learning (MLNG): Expertise in machine learning frameworks, libraries, and tools.
* Programming (PROG): Strong programming skills in languages such as Python, R, or Java.
* Analytics (INAN): Ability to derive insights from data through statistical and analytical methods.
* Algorithm Design (ALDS): Knowledge of algorithm design principles and their application in solving real-world problems.
* Business Analysis (BUAN): Understanding business requirements and translating them into technical solutions.
* Testing (TEST): Experience with model testing, validation, and quality assurance processes.
* Project Management (PRMG): Skills in managing AI/ML projects from conception to deployment.
Qualifications
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
* 3+ years of experience in designing and implementing AI and ML models.
* Strong problem-solving skills and a proactive approach to identifying solutions.
* Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
* Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.
Contact: 02 9412 4178 for more details.
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