Ebay Senior ML Engineer 

India, Karnataka, Bengaluru 

323176230

• 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 eBay's 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 eBay's success further.

• 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.

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