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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form.

Please note that Salesforce uses an automated employment decision tool to help our recruiters assess and evaluate candidates’ resumes. If you do not want Salesforce to use this tool with your application, please submit a request via this form.

Equal Opportunity Statement.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Principal Machine Learning Engineer - 38713