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EngineeringNew💼 FullTime

QA Engineer at Databricks

Unknown
3 hours ago
Location

Bengaluru,KA,India

Salary

₹8-15 LPA

Apply By

ASAP

Views

15

Eligible Batches

🎓 2+Y Batch

Job Description

Join Databricks as a QA Engineer and contribute to the design and development of AI-powered solutions for enterprises. Collaborate with cross-functional teams to drive business outcomes and stay up-to-date with industry trends and advancements in AI.

Roles & Responsibilities

Design and develop AI-powered solutions for enterprises Collaborate with cross-functional teams to drive business outcomes Stay up-to-date with industry trends and advancements in AI

Requirements

Extensive experience in AI and machine learning Proficiency in programming languages such as Python or Java Excellent communication and collaboration skills Ability to work in a fast-paced environment

Nice to Have

Master's degree in Computer Science or related field Experience with deep learning frameworks and libraries Familiarity with data visualization tools and techniques Certifications in AI or machine learning

Eligibility Criteria

BE/B.Tech (3+ years), M.Tech/MS in related field.

Tech Stack & Ecosystem

DatabricksPythonJavaAIMachine Learning

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Quick Info

TypeFullTime
RoleQA Engineer(Databricks)
Work Mode🏢 On-site
Eligible Batches
2+Y

Tech Stack

DatabricksPythonJavaAIMachine Learning

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Career Advice

Company Insights

Working at Databricks as a QA Engineer offers a unique opportunity to be at the forefront of innovation in the field of AI and machine learning. With a focus on designing and developing AI-powered solutions for enterprises, you will have the chance to work on cutting-edge projects that drive business outcomes and stay ahead of industry trends. Furthermore, Databricks' collaborative culture and emphasis on continuous learning ensure that you will be constantly challenged and supported to grow both professionally and personally.

Interview Guide

To prepare for an interview for this role, it's essential to focus on highlighting your skills and experience in AI and machine learning, as well as your ability to collaborate effectively with cross-functional teams. Practice explaining complex technical concepts in simple terms and be prepared to provide specific examples of your work. Additionally, research Databricks' product offerings and company culture to demonstrate your interest and passion for the company. Finally, be ready to ask insightful questions during the interview, such as 'Can you walk me through a recent project you worked on and how you applied AI/ML to solve the problem?' or 'How does Databricks prioritize collaboration and innovation in its teams?'