MTS 2, Software Engineer (AI/ML)

eBay

3 - 8 years

8 - 9 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

computer science machine learning data processing information retrieval open source stakeholder management big data mts sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Responsibilities

Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
Optimize software performance to achieve the required throughput and / or latency
Work with your manager, peers, and Product Managers to scope projects and features
Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
Take active part in knowledge sharing across the organization - both teaching and learning from others

Minimum Qualifications

Bachelor s degree in Computer Science, Statistics, Mathematics, or a related field with 6+ years of relevant industry experience, including 3+ years in people management.
Proven experience leading machine learning teams in an applied industrial setting.
Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning.
Strong programming background in Python, Java, or similar, with exposure to production-grade ML systems.
Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL.
Excellent communication, storytelling, and stakeholder management skills.
Demonstrated ability to translate business needs into scientific problems and to prioritize for impact.

Additional Qualifications

Master s or Ph.D. in a relevant field (Computer Science, ML, Stats, etc.)
Track record of impactful publications and/or patents in machine learning or related areas.
Contributions to open-source ML tools or frameworks.
Experience with modern large language models, graph-based ML, or knowledge graph construction.
Strong presence in scientific communities through talks, panels, or organizing roles.

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