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Specialist Solutions Architect - AI/ML

The Specialist Solutions Architect (SA) for AI/ML will be instrumental in guiding clients through the adoption of advanced machine learning and data science capabilities on the Databricks Lakehouse Platform. This senior role requires deep expertise in translating complex business problems into scalable, production-grade ML architectures. Key responsibilities include consulting with stakeholders to define scope, designing optimal end-to-end data pipelines (ingestion, processing, training, deployment), and proving technical feasibility for cutting-edge AI solutions. The ideal candidate possesses strong architectural skills, a comprehensive understanding of cloud ecosystems (AWS/Azure/GCP), and proven experience guiding enterprises through their digital transformation journey using advanced analytics tools.

databricks Bengaluru, India, India

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1850

Question set

250

Duration

Permanent

Focus areas

AI/MLCloud ComputingData EngineeringDatabricks Platform

People Also Ask (FAQs)

What is the last date to apply for Specialist Solutions Architect - AI/ML?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Specialist Solutions Architect - AI/ML?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the databricks test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Specialist Solutions Architect - AI/ML test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: AI/ML, Cloud Computing, Data Engineering, Databricks Platform.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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