Machine Learning Engineer (Relocation to Australia)

Sydney - Australia

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

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 linepeople planet and performanceensuring that every solution we deliver is ethical impactful and future-ready. PingalAI isnt just building technology; were 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 PingalAIs ability to deliver cutting-edge solutions worldwide.
Comprehensive Expertise: Services spanengineering 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 integratespeople planet and performanceinto its core mission ensuring ethical AI and sustainable growth.
Industry Applications: Proven impact acrossbanking 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 adigital advisor and innovation driver pushing boundaries to meet the speed and quality expectations of modern enterprises.

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 challen...

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.

Key Differentiators

Global Reach & Partnerships: Collaborations with leading AI ecosystems (Microsoft Amazon Google Salesforce Oracle ServiceNow) amplify PingalAIs ability to deliver cutting-edge solutions worldwide.
Comprehensive Expertise: Services spanengineering 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 integratespeople planet and performanceinto its core mission ensuring ethical AI and sustainable growth.
Industry Applications: Proven impact acrossbanking 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 adigital advisor and innovation driver pushing boundaries to meet the speed and quality expectations of modern enterprises.