Job Description

We're looking for a diverse group of collaborators who believe data has the power to improve society. Adventurous minds who value solving some of the world's most challenging problems. Here, employees are encouraged to push their boldest ideas forward, united by a passion to create a world where data improves the quality of life for people and businesses everywhere.

Informatica is on a journey to use generative AI to simplify cloud data management. Senior Machine Learning Engineer will build, train, and deploy Models at scale across multiple cloud services providers in a cloud agnostic manner.

You will be reporting to Senior Manager ML Development

Location : Bengaluru (Hybrid)

Responsibilities:

• Drive design for AI and ML related model pipelines, and services.
• Collaborate with teams, including partners, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
• Experience in 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 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.

Requirements:

• Understand and hands-on experience developing ML models ranging from regression to deep neural networks including LLMs.
• Experience building and scaling platform-centric infrastructure is desired.
• Experience working with ML Ops pipelines
• Familiarity with modern techniques for Language Understanding, and other Machine Learning and AI technologies
• Work well with local and global team of engineers, researchers, and product managers.
• Master's degree in computer science, Electrical Engineering or related fields with focus on AI and machine learning.
• 3 or more years of 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.
• BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
• Minimum 3+ years of relevant professional experience
• BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
• Minimum 2+ years of relevant professional experience

• BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience

• Minimum 5+ years of relevant professional experience