Senior ML Engineer

eBay

5 - 10 years

45 - 55 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

training usage machine learning agile deployment e-commerce management statistics python risk mitigation

Work Mode

Work from Office

Job Type

Full Time

Job Description

What you will accomplish:

Drive innovations in building models using ML/NLP/AI to prevent fraud and increase trust at eBay marketplace.
Collaborate across multifunctional teams to integrate cutting-edge ML solutions that directly impact eBays Risk mitigation and fraud prevention.
Implement and refine model deployment processes that facilitate quick and efficient model releases from offline to online environments.
Contribute to multi-functional problem-solving activities, assisting in developing advanced technological solutions for complex business situations.
Engage in continuous learning opportunities, staying updated with the latest industry trends and technologies to drive eBays success further.

What you will bring:

At least 5 years of experience in building, training and productionalizing AI model or conventional models.
Strong Expertise with Python, Keras, Tensor Flow, Pytorch, Scikit modules is a must have.
Deep understanding of machine learning fundamentals, algorithms, and model evaluation techniques.
Hands-on experience with ML Ops tools and best practices.
Experience with OCR, NLP, vector search, embeddings, and LLM-based applications is strong desired.
Experience in the close examination of data and computation of statistics.
Expertise in building features in feature store.
Proven skills in enhancing model lifecycle management, particularly within complex ML platforms.
Ability to work effectively in a collaborative and agile environment, managing multiple projects simultaneously.
Deep understanding of both CPU and GPU serving platforms, and effectively bridging technological gaps.
Experience working in large-scale AI transformations within prominent product companies in a plus.
Strong communication skills and the ability to articulate complex technical concepts to diverse audiences.
Experience in adversarial space like risk, security, bot mitigation or ads, recommendation are a strong plus.
Experience with prompt engineering + RAG with COT, COV to build production grade solution will be strongly desired.

Educational Qualification:
Bachelor s or Master s in CS, Engineering, Math, or related field; PhD preferred but not required.

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