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Technical Architect, AI/ML

SeniorFull-timeHybridSydney NSW, AustraliaPosted 1 week agoVerified 2 days ago
Pending fitX of Y criteria met

About the job

The job is about being a Technical Architect for AI/ML at Snowflake, where individuals will leverage their expertise to redefine how work gets done in the era of the agentic enterprise. This position plays a crucial role in helping customers expand their use of the Data Cloud, creating innovative solutions and capabilities. The team values collaboration, experimentation, and a low-ego mindset, fostering an environment where everyone can thrive and make a significant impact.

You'll be responsible for

🔧

Building and deploying ML pipelines

Creating and deploying machine learning pipelines using Snowflake features and partner tools based on customer requirements.
🛠️

Designing technical solutions

Designing solutions based on customer requirements and coordinating with customer teams and Systems Integrators.
💡

Providing technical guidance

Offering guidance on resolving customer-specific technical challenges and supporting team members in developing their expertise.

Key criteria

📊

Data science life-cycle expertise

Thorough understanding of feature engineering, model development, and deployment.

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☁️

Cloud platform experience

Experience with at least one public cloud platform (AWS, Azure, GCP).

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🛠️

Hands-on scripting skills

Proven experience with SQL and at least one programming language (Python, R, etc.).

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View more

Meet the team

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5 criteria for this job
Data science life-cycle expertise
Thorough understanding of feature engineering, model development, and deployment.

View

Cloud platform experience
Experience with at least one public cloud platform (AWS, Azure, GCP).

View

Hands-on scripting skills
Proven experience with SQL and at least one programming language (Python, R, etc.).

View

Customer engagement experience
Minimum 10 years in pre-sales or post-sales technical roles with customers.

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MLOps understanding
Strong grasp of technologies and methodologies for model deployment and monitoring.

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