In-Demand Machine learning engineer Jobs in Docklands, Vic

AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Melbourne VIC
- Azure
- Computer Science
- AWS
Cloud DevOps Engineer (AI)
Slater and Gordon —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- Machine learning
- Parental leave
Key Account Specialist-Australia
Kennametal —Melbourne VIC
- Management
- Sales
- Microsoft Office
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Manager, AI Governance
Australian Financial Complaints Authority —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Communication skills
4d
Senior Business Analyst - SuccessFactors (12 month FTC)
Kmart —Chadstone VIC
- Contract
- Employee stock purchase plan
7d
Senior Software Engineer - Australia
Neara —Melbourne VIC
- Full-time
- CAD
Director, FSAI labs Research Delivery
Future Secure AI —Melbourne VIC
- Azure
- Doctoral degree
- Research
Quick Apply
Energy Market Analyst - Australia
Powerline —Melbourne VIC
- Full-time
- Hybrid work
- Sales
- SQL
- Analysis skills
Service Delivery Manager
Future Secure AI —Melbourne VIC
- On call
- AI
- Leadership
Quick Apply
3d
Commercial Lead
Ornata —Richmond VIC
- Full-time
- Sales
Quick Apply
Talent with technology enriches humanity
Fabric Group Holdings —Melbourne VIC
- AI
Data Engineer
Austin Health —Heidelberg VIC
- Full-time
- Azure
- SQL
- Analysis skills
- Health insurance
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AI Engineer - FDE (Forward Deployed Engineer)

Databricks -
Melbourne VIC

Apply Now

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.

Apply Now

Refine Your Search

machine learning engineer jobs in docklands, vic

AI Engineer - FDE (Forward Deployed Engineer)

Cloud DevOps Engineer (AI)

Key Account Specialist-Australia

Senior AI Engineer, Data Science

Manager, AI Governance

Senior Business Analyst - SuccessFactors (12 month FTC)

Senior Software Engineer - Australia

Director, FSAI labs Research Delivery

Energy Market Analyst - Australia

Service Delivery Manager

Commercial Lead

Talent with technology enriches humanity

Data Engineer

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