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Ai Engineer/ Data Scientist, Hybrid
1 month ago
We're driven to create positive progress for our clients, community, people, and the planet.
This sense of purpose inspires us to work to the highest standards, to tackle the challenges that matter.
Joining us means becoming part of a Consulting team that's at the top of its game and growing.
Working with the best people and technology in the market, you'll tackle meaningful projects that transform the future for high-profile local and international clients.
And you'll do it as part of a people-first culture that's supportive, collaborative and, above all, welcoming.
Deloitte has exciting career opportunities for an AI Engineer / Data Scientist within our Artificial Intelligence & Data Team.
We offer the opportunity to work with a variety of clients, technologies and provide a challenging and exciting work environment with scope for personal development and on-going training.
Our team design and build architectures, automate processes, create interactive visualisations, search for patterns, develop predictive models and leverage AI technologies to bring actionable insight from data.
Our team also work cross-functionally with other areas within our Technology and Transformation business (Human Capital, Customer & Marketing, Cloud Engineering, Operations Transformation etc.) and gain a broad knowledge of working models and industry sectors.
About the role: Develop and implement AI solutions and algorithms to solve complex business problems Work closely with cross-functional teams to understand business needs and deliver AI solutions, collaborating with data scientists and software developers to integrate AI models into applications and systems Design and build machine learning pipelines and infrastructure Optimise AI models for scalability and efficiency Ensure the ethical and responsible use of AI technologies Keep abreast of the latest advancements in AI and machine learning Provide technical expertise and guidance on AI-related projects, utilising stakeholder management skills and building trusting client relationships Manage and coach junior team members and provide technical and non-technical guidance on their projects About you: Suitable experience with a minimum of a third level degree in Computer Science, Statistics, Engineering, Mathematics, or a related field Solid background in deploying data driven and AI applications into production, preferably in a fast-paced environment Proficiency in statistical and exploratory data analysis, data mining, and machine learning techniques Experience working with large data sets and distributed computing tools such as Hadoop or Spark Experience with programming languages such as Python, R, and SQL Experience on working with Large Language Models (Open AI, Anthropics, LLama, Gemini etc.) with fine tuning and prompt engineering practices Experience working with cloud platforms such as AWS, Azure, or GCP Experience with data visualisation tools such as Tableau or Power BI is a plus If you believe that you meet most of the criteria above, we encourage you to apply.
Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process.
What we offer Your reward at Deloitte is competitive, supports our purpose and enables our people to never stop growing.
Your reward at Deloitte is not just your salary, we believe in investing in our people's personal and professional development and empowering their work-life balance.
Our ambition is to achieve gender equality and enable continuous growth.
We offer supports and benefits that suit you, wherever you are in life, including health and well-being, pension, savings, training, coaching and enhanced leave options among others.
Keep on being you.
Bring your full, absolute self to work, every day.
Explore, question and collaborate.
Stretch your thinking, while building a career that inspires and energises you.
And, whatever motivates you, keep growing both professionally and personally - because when you make an impact that matters, we do too.
To be considered for this role you will be redirected to and must complete the application process on our careers page.
To start the process click the Continue to Application or Login/Register to apply button below.