In-Demand Machine learning engineer Jobs in Melbourne, Vic

AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Melbourne VIC
- Azure
- Computer Science
- AWS
Data Test Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
3d
MLOps Engineer
Akuna Capital —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Research
AI Engineer (Senior)
AMP Limited —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning
System Engineer - Workplace Technology
Kmart —Chadstone VIC
- Azure
- Customer service
- Microsoft Office
- Employee stock purchase plan
Associate Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Bachelor's degree
- Scripting
Legal Specialist
Scissero —Melbourne VIC
- Remote
- AI
- Annual leave
- Employee assistance program
Lead Engineer - AI/ML
Sportsbet —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Annual leave
- On-the-job training
Full Stack LLM Engineer
Accenture —Melbourne VIC
- Full-time
- Master's degree
- Bachelor's degree
- AI
- On-the-job training
- Parental leave
11d
Senior Engineer, ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Senior/Software Engineer (Backend, Java) - Risk
Binance —Melbourne VIC
- Full-time
- Remote
- Master's degree
- SQL
- Analysis skills
Quick Apply
Performance Engineer
CloudMarc —Melbourne VIC
- Agile
Staff Software Engineer
Commonwealth Bank —Melbourne VIC
- Full-time
- Master's degree
- AWS
- Machine learning
AI Software Engineer
Andromeda Robotics —South Melbourne VIC
- Full-time
- Systems design
- Databases
- AI
Quick Apply
Founding ML Engineer
Base Compute —Melbourne VIC
- Full-time
- Master's degree
- AI
Quick Apply
8d
Associate Data Scientist
Culture Amp —Melbourne VIC
- Master's degree
- SQL
- Machine learning
- Health insurance
- Parental leave
2d
Data Consultant, Melbourne
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Network Engineer- Automation & AI
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI
Network Engineer - AI & Automation - Sydney/Melbourne
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI

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machine learning engineer jobs near melbourne, vic

AI Engineer - FDE (Forward Deployed Engineer)

Databricks -
Melbourne VIC

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Job Details

Qualifications

Azure
Computer Science
Google Cloud Platform
AWS
Machine learning
AI
Teaching

Full Job Description

CSQ227R47

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
Own production rollouts of consumer and internally facing GenAI applications
Serve as a trusted technical advisor to customers across a variety of domains
Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
Experience building production-grade machine learning deployments on AWS, Azure, or GCP
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving business value through AI
[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Refine Your Search

machine learning engineer jobs in melbourne, vic

AI Engineer - FDE (Forward Deployed Engineer)

Data Test Engineer

MLOps Engineer

AI Engineer (Senior)

System Engineer - Workplace Technology

Associate Support Engineer, Region Services

Legal Specialist

Lead Engineer - AI/ML

Full Stack LLM Engineer

Senior Engineer, ML Systems (AI Products)

Senior/Software Engineer (Backend, Java) - Risk

Performance Engineer

Staff Software Engineer

AI Software Engineer

Founding ML Engineer

Associate Data Scientist

Data Consultant, Melbourne

Specialist SA, Developer Transformation

Network Engineer- Automation & AI

Network Engineer - AI & Automation - Sydney/Melbourne

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