Responsibilities:

• Design and develop production-grade, end-to-end ML systems — encompassing automated data ingestion, feature extraction, model training, inference, recommendation engine, deployment, and monitoring.
• Refactor and harden Python-based ML and optimisation codebases into clean, modular, and easily testable services.
• Apply object-oriented principles and design patterns to create clean, reusable ML components.
• Collaborate with data scientists to translate research code into production-ready solutions.
• Develop test strategies and CI/CD workflows for ML components.
• Own the quality and reliability of ML services in production environments.
• Work with AI teams to adopt modern MLOps practices, including ML lifecycle management, monitoring, and deployment automation.

Requirements & Skills:

• 8+ years of professional experience as a software engineer, with a strong track record in building scalable, reliable, and maintainable systems.
• A degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Proven experience in working with ML systems or data engineering pipelines.
• Strong knowledge of object-oriented programming principles, design patterns, and software architecture.
• Expert-level proficiency in Python programming, along with ML frameworks and numerical computing tools (e.g., Pandas, Polars, Scikit-learn, PyTorch, TensorFlow, SciPy), and the ability to optimise models and code for speed and accuracy.
• Experienced with data orchestration tools such as Kedro, Airflow, or Dagster for developing data/ML pipelines.
• Practical experience in deploying ML models to production, with a strong understanding of core MLOps concepts including version control, CI/CD pipelines for ML, automated testing, monitoring, and end-to-end model lifecycle management.
• Proficient with containerisation and orchestration tools like Docker and Kubernetes.
• Practical experience with cloud platforms for data and ML (e.g., AWS, Azure, GCP) — AWS/SageMaker/MLflow is a plus.
• Background in mining, industrial applications, or resource-focused ML environments is desirable.

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Responsibilities:

• Being able to deliver a Machine Learning/Deep learning project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation
• Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models
• Use Spark ML and other machine learning frameworks to help our customers build ML models
• Work with Data Engineers to analyse, extract, normalise, and label relevant data
• Work with Engineers to help our customers operationalise models after they are built
• Assist customers with identifying model drift and retraining models
• Research and implement novel ML and DL approaches

Requirements & Skills:

• A Bachelor’s or Master’s Degree in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
• 4+ years of industry experience in predictive modelling, data science, and analysis
• Previous experience in an ML or data scientist role and a track record of building ML or DL models
• Experience using Python and/or R
• Knowledge of SparkML
• Able to write production-level code, which is well-written and explainable
• Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
• Experience working with GPUs to develop models
• Experience handling terabyte-sized datasets
• Track record of diving into data to discover hidden patterns
• Familiarity with using data visualisation tools
• Knowledge and experience of writing and tuning SQL
• Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
• Experience giving data presentations
• Extended travel to customer locations may be required to deliver professional services, as needed
• Strong written and verbal communication skills
• PhD in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.)
• 2+ years of industry experience in predictive modelling and analysis
• Good skills with programming languages, such as Java or C/C++
• Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, and ability to accurately determine cause and effect relations
• Consulting experience and track record of helping customers with their AI needs
• Publications or presentations in recognised Machine Learning, Deep Learning, and Data Mining journals/conferences
• Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customers’ organisation
• Demonstrable track record of dealing well with ambiguity, prioritising needs, and delivering results in a dynamic environment

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Responsibilities:

• Develop and deploy machine learning models that will have a profound impact on our product(s) and end users
• Analyze large datasets to identify trends and patterns
• Work across a range of use cases to improve the quality of LLM output chains
• Plan and implement MLOps, including benchmark monitoring for quality assurance and compliance
• Provide strategic input for long-term data initiatives, including data governance and ethical AI practices
• Work closely with engineers and stakeholders to implement innovative solutions
• Mentor junior data scientists

Requirements & Skills:

• Relevant tertiary qualification, Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science, or related field, AND 4+ years industry working experience
• Strong demonstrated history of data science experience and can concisely share examples of successful past projects
• Ideally, you bring commercial experience with NPL techniques (supervised NLP learning with LSTM/CNN/Transformers and/or topic modelling), and;
• Commercial experience with GPT (langchain, llama index, RAG, multi-agent framework).
• Advanced SQL and 2+ years’ programming experience in Python and Natural Language Processing
• Excellent communicator with stakeholders at all levels
• Empathetic, collaborative, open to feedback
• Able to read and keep abreast of LLM-related research
• Able to thrive in an agile environment
• A Master’s/Doctorate in a relevant discipline is a plus
• Able to attend our beautiful Sydney CBD office 2 days a week

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Responsibilities:

• Developing navigation and AI systems and/or extensions to these systems.
• Developing gameplay mechanics related to navigation and AI.
• Collaborating with other engineers, designers, animators, and other developers contributes to teamwork work a daily basis.
• Writing readable, high-quality, efficient C++ code.
• Maintaining, debugging, profiling, and bug fixing code to achieve the best quality and performance.
• Documenting code and work, creating debug tools for other developers, and creating tests to cover existing functionality.

Requirements & Skills:

• Practical knowledge of game navigation & AI systems (designs & patterns).
• Knowledge “beyond A*” pathfinding, basic planning techniques, decision-making paradigms (e.g., GOAP, State Trees, Utility, Affordances, etc.).
• Deep knowledge of C++.
• Math & algorithmic skills.
• Good & practical knowledge of code parallelization.
• Good spirit and team player approach with solid communication skills.
• Fluent English.

Nice to have

• Good knowledge of Unreal Engine 5 environment – especially features and systems related to navigation & AI area.
• 3+ years of experience in the game dev industry.
• Experience in creating an AAA title for game consoles, debugging, and profiling these games in a console environment.
• Demanding attitude towards themselves and other coworkers, focused on delivering the best results.

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Responsibilities:

• Collaborate with clients to understand their business objectives, challenges, and opportunities related to AI.
• Develop comprehensive AI strategies that align with clients’ business goals and industry trends.
• Conduct in-depth analysis of clients’ data, processes, and systems to identify areas for AI-driven improvements.
• Lead the design and implementation of AI solutions, including machine learning models, natural language processing, and computer vision applications.
• Provide thought leadership on AI trends, technologies, and best practices.
• Manage project timelines, deliverables, and client expectations to ensure successful project outcomes.
• Mentor and guide junior team members, fostering a collaborative and innovative team environment.
• Prepare and deliver high-quality presentations, reports, and documentation for clients and stakeholders.
• Stay current with advancements in AI and related technologies, continuously enhancing your expertise and knowledge.

Requirements & Skills:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in AI strategy, consulting, or a related field.
• Strong understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision.
• Proven experience in developing and implementing AI strategies for diverse industries.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Exceptional communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Ability to work effectively both independently and as part of a team.
• Strong business acumen and the ability to understand and address clients’ strategic needs.
• Experience in a consulting firm or professional services environment.
• Industry-specific knowledge in sectors such as oil & gas, power and utilities, mining, healthcare, finance, manufacturing, or retail.
• Certifications in AI, machine learning, or related fields.

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Responsibilities:

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Requirements & Skills:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Master’s degree or PhD in Computer Science or a related technical field.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

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