Principal software engineer

• As a

  Principal AI/ML Engineer

  , you will be responsible for building machine learning based solutions for Data Integration, Data Quality, Master Data Management, Data Governance, and other Information Management solutions. You will research techniques to leverage LLMs, deep learning and other cutting-edge ML/NLP methods as part of Informatica Intelligent Data Management Cloud (IDMC)
• In the role of

  Principal AI/ML Engineer

  , you will be working independently with product managers and architects. You will work with structured and unstructured datasets, and extract business insights from them. You provide AI thought leadership and effectively inspire creativity in our products.
• You will report to the

  Senior Director, Development R&D ENG_Platform_CL

• You will work with a keen commitment to customer success and work very closely with architects, product managers and customers to shape the roadmap of the CLAIRE team

Technology you'll Use

• JAVA SDK, J2EE Spring Framework, REST, JSON, Spark, Apache Arrow/Iceberg
• Build tools such as Gradle, Maven, npm, webpack, rollup
• Web client technologies - JavaScript, NodeJS
• AWS/Azure/GCP, Kubernetes, Docker, MySQL, flyway, chef
• ML frameworks and libraries such as pytorch, TensorFlow, Keras
• Distributed processing frameworks such as Spark

What you'll Do

• Drive the end-to-end design and development of machine learning solutions for the Informatica IDMC leveraging modern techniques including LLMs
• Research and implement machine learning algorithms into services and pipelines to be consumed at web-scale as part of Informatica Cloud Platform
• Help build common AI/ML components such as central discovery service, training frameworks, metadata knowledge graph, data infrastructures for accelerating the development of AI/ML components that could be consumed by various Informatica products
• Champion and communicate the value proposition and differentiation of AI/ML to internal audiences
• Build AI/ML expertise in the engineering division
• Collaborate with academia and the research community.

What Wed Like to See

• Solid experience designing and developing solutions using Java/python, Cloud platforms like AWS, Azure, GCP
• Experience working with distributed processing frameworks.
• Experience working with Kubernetes and cloud-first cloud-native platforms

Role Essentials

• MS or above in Computer Science or related fields with experience in machine learning
• 8+ years of industry and research experience in developing productionizing machine learning based solutions on cloud
• Solid understanding of LLM architecture and hands-on experience using and adapting them to specific use cases through prompt engineering, fine tuning on domain specific data etc
• Expert experience with ML frameworks and libraries like PyTorch, TensorFlow, Keras etc earn new technologies quickly
• Learn and mentor other team members in machine learning
• Experience with cloud application development, deployment, operation

Perks & Benefits

• Comprehensive health, vision, and we'llness benefits (Paid parental leave, adoption benefits, life insurance, disability insurance and 401k plan or international pension/retirement plans
• Flexible time-off policy and hybrid working practices
• Equity opportunities and an employee stock purchase program (ESPP)
• Comprehensive Mental Health and Employee Assistance Program (EAP) benefit