MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.
* 8 years of experience with software development in one or more programming
languages (e.g., Python, C, C++, Java, JavaScript).
* Experience in ML Infrastructure Development or ML Performance Engineering.

PREFERRED QUALIFICATIONS:

* Experience with Machine Learning (ML) development process.
* Expertise in C++ and Python, Responsible ML, ML Explainability, ML Fairness
Tensorflow , JAX, Keras, Gemax TFX, TFlex, Xflow or ML Performance
Engineering.
* Knowledge of Google production infrastructure.
* Ability to collaborate with partners on applying ML to their use cases.
* Passion for building infrastructure to increase the velocity of ML
development.

ABOUT THE JOB:

The AI Flow Platform and suite of products are used by thousands of Googlers
across all product areas to drive business impact for Google in innumerable ways
(e.g., finding insights in data, building classical ML models, experimenting
with Gemini, and more). Our team provides a dependable, compliant, and scalable




platform that enables product teams to iterate rapidly on new ideas and to take
the best ideas for production.

In this role, you will have an prospect to influence the future of applied ML
at Google, pushing the boundaries of what teams can achieve with generative and
discriminative technologies, leaving a lasting impact on the field.

RESPONSIBILITIES:

* Develop and maintain our production service, written in C++ and Python, and
further the platform goal of incorporating prompt optimization, fine tuning,
hyperparameter optimization, and ML best practices into Google product
development.
* Design and implement customer requested ML and AI features end-to-end from
requirements-gathering and design-authoring, through implementation and
landing impact in production.
* Explore charter expansion based on next-generation product requirements from
internal and external customers.

📌 AI/ML Infrastructure Software Engineer (Bengaluru)
🏢 Google
📍 Bengaluru