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Urgent! Senior Software Engineer, ML Infrastructure Job Opening In Bengaluru – Now Hiring Google

Senior Software Engineer, ML Infrastructure



Job description

Senior Software Engineer, ML Infrastructure

_corporate_fare_ Google _place_ Bengaluru, Karnataka, India

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

**Minimum qualifications:**

+ Bachelor's degree or equivalent practical experience.
+ 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.
+ 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
+ Experience with Cloud Security and Compliance.
+ Experience building distributed systems.
+ Experience in building Machine Learning Operations platforms.

**Preferred qualifications:**

+ Master's or PhD in Computer Science or related technical field.
+ Experience working with Graphics Processing Unit, Tensor Processing Unit, or High Performance Computing (HPC) clusters.
+ Experience in ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn.
+ Experience with ML operation principles and tools for model versioning, monitoring, and deployment.
+ Knowledge of open source data analytics tools such as Apache YARN, Spark, Hive, Flink etc.

**About the job**
Google Cloud accelerates every organization’s ability to digitally transform its business and industry.

We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

**Responsibilities**

+ Make Cloud Dataproc the leading product for data science, ML and AI workloads.
+ Design and build software stack to leverage Google technologies for cluster setup, excellent AI/ML operations, monitoring and observability.
+ Engage with Google Cloud Platform (GCP) infrastructure teams to deliver the GCP features to Dataproc customers.
+ Build customer-facing features which make Cloud Dataproc the leading platform to run Hadoop, Spark, Flink, AI/ML and newer technologies in the cloud.
+ Work across boundaries in a distributed team.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes.

Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.



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