AI/ML Engineer, AI Solutions

Develop,optimize, fine-tune Generative AI/LLM models/AI Solutionsthat can be integrated withnumerousapplications, support thousands of tenants, andoperateat scale in productionto support variousPaypalAI Personalization initiatives Deploy,monitor, andmaintainMachine Learning models and build AI Products in production environments, ensuringoptimalperformance and reliability. Perform performance evaluations of the LLM models, ImplementLLMOpsprocesses to run the end-to-end lifecycle of LLMs Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders. Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements,provide technicalsupportand drive successful project outcomes. Qualifications Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience. The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations Solid Understanding of machine learning concepts, algorithms, and techniques, developing and deploying machine learning models. Expert in multiple Programming/scripting languages,i.e.,Python, Java, Scala, SQL, NoSQL (like HBase, Redis, Aerospike) Proven experience with distributed systems, data streaming, complex event Processing,NoSQL solutionsfor creating and managing data integration pipelines for batch and Real Time data needs. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Good understanding of machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn, etc. Expertisein Big Data technologies such as Hadoop, Spark, HBase, Kafka Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph. Experience developing Gen AI applications/services for sophisticated business use cases andlarge amountsof unstructured data. Strong background in MLOps and experimentation frameworks