Build Your Career at Informatica

We seek innovative thinkers who believe in the power of data to drive meaningful change. At Informatica, we welcome adventurous minds eager to solve the world's most complex challenges. Our employees are empowered to push their bold ideas forward, and we are united by a shared passion for using data to do the extraordinary for each other and the world.

Principal Machine Learning Engineer

Informatica is on a journey to use generative AI to simplify cloud data management. Principal Machine Learning Engineer will drive the overall architecture and pipelines to enable Machine Learning engineers to build, train and deploy Models at scale across multiple cloud services providers in a cloud agnostic manner. You will be visible and critical to leapfrog Informatica's AI journey.

You will report to the VP, AI/Machine Learning.

Your Role Responsibilities? Here's What You'll Do

Design and Implement end to end AI based SaaS for enterprises
Improve architecture and design for AI and ML related model pipelines, and services
Collaborate closely with cross-functional internal teams, including stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
Experience with applying state-of-the art AI algorithms to real-world problems.
Stay up-to-date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture
Provide solutions that foster ML Engineer developer productivity.
Lead the development and deployment of machine learning models, deep learning algorithms, and other AI/ML techniques. Ensure best practices for model training, testing, and validation are followed.

What We'd Like to See

Solid First Principles thinking for Data and AI
Understand and hands-on experience developing ML models ranging from regression to deep neural networks including LLMs
Experience with data engineering principles, adapting data for AI
Experience with AI/ML frameworks and skills to do rapid prototypes
Familiarity with modern techniques for Language Understanding, and other Machine Learning and AI technologies
Collaborate with local and global team of engineers, researchers, and product managers.
Masters degree in Computer Science, Electrical Engineering or related fields with focus on AI and machine learning.

Role Essentials

10+ years of industry and research experience in Artificial Intelligence and Machine Learning
Experience with AWS, Google or Azure is Required
Experience modern ML pipelines using Kubeflow, KServe, Hugging Face, and similar toolkits.

Perks & Benefits

Comprehensive health, vision, and wellness 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

Our DATA values are our north star and we are passionate about building and delivering solutions that accelerate data innovations. At Informatica, our employees are our greatest competitive advantage. So, if your experience aligns but doesn't exactly match every qualification, apply anyway. You may be exactly who we need to fuel our future with innovative ideas and a thriving culture.

About Informatica Informatica, a Salesforce company, is a leader in enterprise AI-powered cloud data management. Informatica helps organizations connect, manage, and unify their AI-ready data through its data catalog, data integration, governance, quality and privacy, metadata management, and Master Data Management (MDM) capabilities. Informatica continues to support and integrate with a broad ecosystem of partners while helping customers unlock the full value of their data and AI.

About Salesforce Salesforce is the #1 AI CRM, empowering companies to connect with their customers in a whole new way through the power of artificial intelligence, data, and trust. For more information about Salesforce (NYSE: CRM), visit: www.salesforce.com.