Ebay MTS 2-AI/ML Software Engineer 

India, Karnataka, Bengaluru 

508947982

What You Will Accomplish:

• Build large-scale applications, low-latency APIs, data pipelines, and foundational architectures to support eBay’s business operations and customer experiences.
• Design and deploy high-performance APIs and data pipelines that seamlessly integrate machine learning models to extract valuable insights
• Design and implement highly configurable, metadata-driven platforms to enable seamless ingestion of attributes, rules, models, policies, and derived aggregates.
• Develop machine learning models and Gen AI tools to generate insights and improve customer experiences across eBay.
• Partner with architects, business leaders, and industry experts to devise strategies and scalable solutions.
• Be responsible for the entire software lifecycle, including design, development, testing, and experimentation.
• Foster a collaborative team environment by mentoring junior members, guiding them through projects to achieve transformed outcomes.

What You Will Bring:

• Prefer Technical degree with 8+ years of relevant software development experience.
• Strong hands on Machine Leaning experience, AI/ML/Gen AI, LLM's and proven experience in building and running AI/ML/GenAI models in production environments.
• Outstanding programming skills in Java, Scala, and Python, with hands-on experience in frameworks like PyTorch and TensorFlow.
• Demonstrated experience in applying AI/ML techniques to build and run models in production environments.
• Proven experience with APIs and Distributed Systems, building and consuming horizontally scalable RESTful APIs, GraphQL, and distributed systems.
• Hands-on experience with technologies like Spark, Flink, and Kafka with practical experience in their use.
• Strong understanding of SQL, NoSQL, and sophisticated data modeling techniques.
• Hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, Hive, Spark) for building and optimizing large-scale data solutions.
• Strong data modeling skills, encompassing both SQL and NoSQL environments