PayPal Principal Ai/ML Engineer AI Solutions 

India, Karnataka, Bengaluru 

716073607

over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience.

Your day-to-day

As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners

• state-of-the-artmodels with robust engineering practices.

• Design, Build,optimize, fine-tune Generative AI/LLM models/AI Solutions that can be integrated withnumerousapplications, support thousands of tenants, andoperateat scale in production to support variousPayPalAI Personalization initiatives

• 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 LLM's

• 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 technicalsupport,and 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

• proficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models

• Design & Architect directions onGenAI(Prompt Engineering, Orchestration, LLMs tuning)

• Strong background in deep learning techniques, particularly in NLP and Vision

• in applying LLMs, prompt design, and fine-tuning methods

• large amountsof unstructured data.

• Expert in multipleProgramming/scriptinglanguages,i.e.,Python, Java, Scala,SQL, SQL, NoSQL (like HBase, Redis, Aerospike)

• Good understanding of distributed systems, data streaming, complex event Processing,NoSQLsolutions for creating and managing data integration pipelines for batch and Real Time data needs.

• in machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn,

• with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus

• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner

• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential

• up-to-datewith the latest advancements in AI/ML technology and industrytrends andleveragethis knowledge to build enhanced capabilities

• in Big Data technologies such as Hadoop, Spark, HBase, Kafka.

Preferred

• Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph

• Strong background inMLOpsand experimentation frameworks

• Extensive experience with concurrent,parallel,and distributed computing, including performance tuning and optimization for large-scale applications