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 partnersrepresentingthe team within a globally distributed org.
- Lead and mentor teams of ML Engineers and Software Engineers in building scalable AI systems that combinestate-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
- 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
- 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.
What do you need to bring
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.
- Strongproficiencyin 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
- Expertisein applying LLMs, prompt design, and fine-tuning methods
- Experience developing Gen AI applications/services for sophisticated business use cases andlarge amountsof unstructured data.
- Expert in multiple Programming/scripting languages,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.
- Proficiencyin machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn,etc.
- Expertisewith 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
- Stayup-to-datewith the latest advancements in AI/ML technology and industrytrends andleveragethis knowledge to build enhanced capabilities.
- Expertisein 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
