Principal Machine Learning Engineer

Informatica

6 - 11 years

20 - 25 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

data management architecture neural networks artificial intelligence machine learning cloud informatica principal

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 Informaticas 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 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
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

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