In-Demand Analytics engineer data & analytics Jobs in Cremorne, Vic

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Field Engineering, AI/ML Product Specialist

Databricks -
Melbourne VIC

Apply Now

Job Details

Qualifications

Azure
Law
Google Cloud Platform
Master's degree
Machine learning
AI
Pre-sales

Full Job Description

FEQ227R222

Field Engineering, AI/ML Product Specialist

As the AI/ML Product Specialist, you will be defining our technical go to market strategy and driving our AI/ML product adoption in the Asia Pacific and Japan region.

You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.

You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

Lead the vision and strategy for AI/ML products adoption in Asia Pacific and Japan
Develop materials for our GTM team to effectively communicate our value proposition
Support our field teams in key strategic pursuit opportunities
Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
Act as the thought leader to build confidence and relationships with our customers at the executive level
Present externally at conferences, events and webinars and publish content to establish our position in the market
Work with our FDE teams and partners to establish best practices
Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion

What we look for:

6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
Trusted advisor to technical executives that inform strategic data decisions
Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
Expertise in traditional Machine Learning methodologies and have deployed large scale production systems
Deep understanding of LLM application architectures (RAG, agentic, fine-tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), eval methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open-source)
Proven track record of successful pre-sales experience in competitive situations
Ability to define and executive strategic program cross functionally
High impact communication internally and externally

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

analytics engineer data & analytics jobs in cremorne, vic

Field Engineering, AI/ML Product Specialist

Water and Wastewater Planning Engineer - Melbourne or Brisbane

Configuration and Data Management Specialist

2028 nbn Gradudate Program EOI

Lead Solutions Engineer, Strategic Accounts

Senior AI Engineer

ServiceNow Engineer/Developer/Architect (AU Citizen only)

Senior IT Systems Engineer

Technology Lead

Senior Engineer ICT and Integration

Functional Dynamics 365 Supply Chain/FinOps Lead

Head of GTM Operations

Senior iOS Engineer

Manager, Product Line - Australia

Senior / Principal Mining Consultant (Strategy Optimization)

Data Centre Security Manager , Data Centre Security

SAP Test Director

Data & AI Architect

Senior Data Governance Analyst, Regulatory Systems

Microsoft Cloud and Security Engineer

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