Software Development Engineer - ML Ops at LiveRamp

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data PrivacyIndustries

Requirements

2 to 5 Years of experience
Experience using Airflow or a similar framework for managing data pipelines
Experience with Python
Understanding and Leveraging Scalable Pipelines
Exposure to ML
Experience with Big Query or equivalent
Experience with GCP or another cloud provider (AWS, Azure, etc.)
Excellent communication skills

Responsibilities

(None explicitly listed in the job description)

Skills

Key technologies and capabilities for this role

AirflowPythonScalable PipelinesMLBig QueryGCPAWSAzure

Questions & Answers

Common questions about this position

What are the required skills for the Software Development Engineer - ML Ops role?

The role requires 2 to 5 years of experience using Airflow or similar for data pipelines, Python, scalable pipelines, exposure to ML, Big Query or equivalent, GCP or another cloud provider, and excellent communication skills.

What is the location for this position?

The position is located in Hyderabad.

What benefits does LiveRamp offer?

Benefits include flexible paid time off, paid holidays, options for working from home, paid parental leave, comprehensive medical, dental, vision, accident, life and disability coverage, employee assistance program, voluntary benefits, and perks for healthy lifestyle and career growth.

What is the company culture like at LiveRamp?

LiveRamp empowers employees to live values of committing to shared goals and operational excellence, builds inclusive high-belonging teams across nine countries and four continents, and focuses on diversity, inclusion, and belonging to connect people to new ideas.

What experience level is needed for this role?

The role requires 2 to 5 years of relevant experience, particularly with Airflow, Python, and related technologies.

LiveRamp

Identity platform for people-based marketing

About LiveRamp

LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform supports people-based marketing, allowing businesses to target their audiences more accurately. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company aims to empower businesses to use data responsibly while enhancing customer experiences.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$15.6MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Company Match

Remote Work Options

Unlimited Paid Time Off

Paid Holidays

Paid Parental Leave

Employee Stock Purchase Plan

Wellness Program

Risks

Competitors' adoption of data clean rooms may dilute LiveRamp's market share.

DIRECTV partnership success depends on streaming platform user growth.

Life360's ad business growth could conflict with LiveRamp's existing clients.

Differentiation

LiveRamp offers a fully interoperable infrastructure for end-to-end addressability.

The platform ensures safe and responsible consumer data usage, crucial in today's privacy-conscious world.

LiveRamp's subscription model provides clients with data onboarding, identity resolution, and connectivity.

Upsides

Growing demand for data clean rooms enhances LiveRamp's market position.

Phasing out of third-party cookies boosts interest in identity resolution solutions.

Partnerships with streaming platforms expand LiveRamp's digital advertising reach.

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