Top Tech Jobs & Startup Jobs in Melbourne

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Own enterprise business development and sales for Quantium’s scam, fraud, and identity API across banks and financial services organizations. Build target-account pipelines, create demand, manage complex multi-stakeholder sales cycles, negotiate contracts, and close deals. Develop executive relationships across fraud, risk, financial crime, product, and technology teams while shaping market positioning, monitoring regulatory and competitive trends, maintaining forecasts, and collaborating with product, marketing, pre-sales, and customer success teams.

Lead the design and delivery of data analytics solutions, including data quality assessment, manipulation, method selection, predictive modeling, insight generation, and visualization. Collaborate with engineers and business stakeholders in agile teams to scope solutions, solve complex commercial problems, and deliver measurable outcomes. Leadership experience, analytical tool proficiency, and commercial predictive modeling expertise are valued.

Design and scale analytics solutions using data science, AI-native workflows, and cloud platforms. Develop models, algorithms, statistical analyses, and reusable AI-enabled approaches using Python and SQL. Evaluate AI-generated outputs, create technical specifications, support engineering delivery, mentor analysts, and improve workflows across distributed global teams.

Develop data science and AI-native analytical solutions using Python, SQL, cloud platforms, and AI tools. Responsibilities include data extraction and cleaning, feature engineering, model development, validation, testing, scalable solution design, and evaluation of AI-generated outputs. The role collaborates with analysts, engineers, and product specialists, contributes to project delivery and continuous improvement, and communicates technical concepts to non-technical audiences.

Leads data science project delivery for Woolworths, developing AI and analytics solutions that address complex business challenges. Manages and mentors a team of 3–5 analysts, maintains relationships with stakeholders and executives, and translates technical insights into clear recommendations. Applies Generative AI to improve analytical productivity and deliverable quality while providing hands-on technical leadership and presentations to non-technical audiences.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

Design and deliver scalable analytics solutions and models, create specifications for engineering, work with complex cloud-hosted datasets, apply advanced data science and ML methods, support product roadmaps, mentor and coordinate across global teams.