This range is provided by MAP TALENT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
A$180.00/yr - A$220.00/yr
Direct message the job poster from MAP TALENT
Gen AI, Data Scientist and Machine Learning SME recruiter
Lead Data Scientist – AI Platforms
Location: Sydney, NSW
MAP Talent is currently seeking an experienced and forward-thinking Lead Data Scientist to join the AI Platforms team for one of our leading clients.
This role is perfect for someone who's got the tech skills and the people skills — a true AI all-rounder. If you love leading from the front, get a buzz from solving tough problems with machine learning, and are always chasing the next big thing in AI, then you're going to feel right at home. You'll be driving the big-picture AI strategy and building solutions that actually make a real difference. 50% Strategy/ Management and 50% Hands on tech work
Key Responsibilities:
* Own and lead AI/ML solution design and delivery, ensuring alignment with business goals.
* Identify opportunities for continuous improvement and innovation through emerging technologies and business needs.
* Develop and deploy AI/ML models for a range of applications, including chatbots, fraud detection, risk assessment, customer segmentation, and personalised recommendations.
* Explore and integrate cutting-edge technologies such as Generative AI, Large Language Models (LLMs), and predictive analytics.
* Ensure scalability, reusability, and performance of deployed AI models.
* Collaborate with MLOps teams to productionise and monitor AI solutions.
* Mentor and develop a high-performing team of data scientists.
* Work closely with business units, product managers, and stakeholders to prioritise AI initiatives.
* Advocate for ethical AI practices and ensure data privacy compliance.
* Partner with data teams to ensure high-quality, accessible data for model training and evaluation.
Your Skills & Experience:
* Master's or PhD in Data Science, Computer Science, Statistics, Information Technology, or related fields (preferred).
* Strong skills in statistical and econometric modelling, quantitative analysis, and data mining techniques.
* Demonstrated ability to extract actionable insights from complex data.
* Experience with Big Data environments and predictive analytics.
* Proficiency in programming languages such as Python, R, or Java.
* Expertise in frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost.
* Experience with NLP, text analytics, and deploying LLMs.
* Hands-on experience with cloud platforms (AWS preferred)
* Experience working in both on-premise and cloud-based data environments.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
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