Principal Machine Learning Engineer

Principal Machine Learning Engineer

Informatica is on a journey to leverage generative AI to simplify cloud data management. Principal Machine Learning Engineer will be responsible for driving 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. This role is highly visible and critical to leapfrog Informatica's AI journey.

Responsibilities:

• Design and Implement end to end AI based SaaS for enterprises
• Drive 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.
• Passion for 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
• Responsible for providing 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.

Requirements:

• Solid First Principles thinking for Data and AI
• Solid understanding and hands-on experience developing ML models ranging from regression to deep neural networks including LLMs
• Solid understanding of data engineering principles, adapting data for AI
• Solid understanding of 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.
• 10+ years of industry and research experience in Artificial Intelligence and Machine Learning
• Experience with AWS, Google or Azure is Required
• Experience and understanding of modern ML pipelines using Kubeflow, KServe, Hugging Face, and similar toolkits is preferred.

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
• Tuition reimbursement program to support your and personal growth
• Equity opportunities and an employee stock purchase program (ESPP)
• Comprehensive Mental Health and Employee Assistance Program (EAP) benefit
• We're guided by our values and we are passionate about building and delivering solutions that accelerate data innovations. At Informatica, we know diversity drives innovation. We are proud to be an dedicated to maintaining a work environment free from discrimination, one where all employees are treated with dignity.
• Informatica (NYSE: INFA), an Enterprise Cloud Data Management leader, brings data to life by empowering businesses to realize the transformative power of their most critical assets. We have pioneered the Informatica Intelligent Data Management Cloud (IDMC) that manages data across any multi-cloud, hybrid system, democratizing data to advance business strategies. Customers in over 100 countries and 85 of the Fortune 100 rely on Informatica. . Connect with , , and .

  Informatica. Where data comes to life.