About the Role - As a Machine Learning Engineer based in Australia, you will design and deploy cutting-edge ML models to solve real-world business challenges in a collaborative, innovative environment.
Key Responsibilities -
- Design, develop, and deploy machine learning models that address business challenges.
- Collaborate with cross-functional teams to integrate machine learning solutions into products.
- Conduct data preprocessing and feature engineering to optimize model performance.
- Evaluate model performance using appropriate metrics and refine as necessary.
- Stay updated with the latest machine learning techniques and frameworks.
- Provide technical mentorship and guidance to junior engineers and data scientists.
- Document work and present findings to stakeholders for informed decision-making.
About the company - PingalAI is redefining the future of business by harnessing the full force of Artificial Intelligence and data technology. With a global reach and partnerships across Microsoft, Amazon, Google, Salesforce, Oracle, and more, we empower organizations to embrace sustainable, profitable digital transformation. From AI & ML to robotics, cybersecurity, and cloud resilience, our expertise spans every frontier of innovation. What sets us apart is our triple bottom line—people, planet, and performance—ensuring that every solution we deliver is ethical, impactful, and future-ready. PingalAI isn’t just building technology; we’re building a bold, intelligent world where businesses thrive and society benefits.
Key Differentiators
- Global Reach & Partnerships: Collaborations with leading AI ecosystems (Microsoft, Amazon, Google, Salesforce, Oracle, ServiceNow) amplify PingalAI’s ability to deliver cutting-edge solutions worldwide.
- Comprehensive Expertise: Services span engineering, DevOps, big data analytics, generative AI, cybersecurity, robotics, and AI R&D, making PingalAI a one-stop partner for digital transformation.
- Triple Bottom Line Commitment: Unlike many competitors, PingalAI integrates people, planet, and performance into its core mission, ensuring ethical AI and sustainable growth.
- Industry Applications: Proven impact across banking, financial services, marketing analytics, infrastructure modernization, and conversational AI, tailored to diverse global industries.
- Visionary Positioning: PingalAI positions itself not just as a service provider but as a digital advisor and innovation driver, pushing boundaries to meet the speed and quality expectations of modern enterprises.