Principal MTS, Machine Learning

eBay

10 - 15 years

15 - 20 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

product management computer science software design backend machine learning scala data structures data processing mts python

Work Mode

Work from Office

Job Type

Full Time

Job Description

What Will You Do

We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

Architect scalable data pipelines processing billions of items, integrating ML models.
Design low-latency search/IR services on datasets of hundreds of millions of items.
Craft API designs and drive integration between data layers and customer-facing applications.
Design and run A/B tests in production to measure new functionality impact.

If you love a good challenge, and are good at handling complexity - we d love to hear from you!

Job Responsibilities

Collaborate with Management and Product Management on shaping the department s vision and roadmap
Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure.
Define and lead performance optimization strategies for critical systems.
Collaborate on project scope and define long-term architectural vision.
Develop and champion technical strategies aligned with business objectives.
Lead cross-functional architectural initiatives, ensuring coherent solutions.
Establish and champion organization-wide knowledge sharing and best practices.

Minimum Qualifications

Passion and commitment for technical excellence
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
10+ years of software design, architecture, and development experience, tackling complex problems in backend services and / or data pipelines
Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, Statistics, and core ML concepts
Architectural expertise in production-grade systems using Java, Python/Scala.
Architectural expertise in large-scale ML engineering, architecture, deployment, and optimization
Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark).
Proven ability to resolve complex architectural challenges in production software systems.
Executive-level communication and collaboration skills for influencing technical direction.

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