Senior Software Engineer, ML Infrastructure
Senior Software Engineer, ML Infrastructure
Job Description
Google | Bengaluru, Karnataka, India. 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. 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.
Locations
- Bengaluru, Karnataka, India
Salary
Estimated Salary Rangehigh confidence
80,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Cintermediate (programming)
- C++intermediate (programming)
- Javaintermediate (programming)
- Pythonintermediate (programming)
- ML infrastructureadvanced (machine learning)
- Cloud Security and Complianceintermediate (cloud)
- Distributed systemsadvanced (software engineering)
- Machine Learning Operations platformsadvanced (machine learning)
- TensorFlowadvanced (ML framework)
- PyTorchadvanced (ML framework)
- scikit-learnadvanced (ML framework)
- Apache YARNintermediate (data analytics)
- Sparkintermediate (data analytics)
- Hiveintermediate (data analytics)
- Flinkintermediate (data analytics)
Required Qualifications
- Bachelor's degree (degree in Computer Science)
- Coding experience (experience in C, C++, Java, or Python, 5 years)
- ML infrastructure experience (experience in model deployment, model evaluation, optimization, data processing, debugging, 3 years)
- Cloud Security and Compliance (experience, 1 years)
- Building distributed systems (experience, 1 years)
- Building Machine Learning Operations platforms (experience, 1 years)
- Master's or PhD (degree in Computer Science or related technical field)
- Graphics Processing Unit, Tensor Processing Unit, or High Performance Computing clusters (experience, 1 years)
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.
Benefits
- equal opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve.
- accommodations: If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
- culture: Creating a culture of belonging and providing an equal employment opportunity.
Tags & Categories
Senior Software Engineer, ML Infrastructure
Senior Software Engineer, ML Infrastructure
Job Description
Google | Bengaluru, Karnataka, India. 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. 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.
Locations
- Bengaluru, Karnataka, India
Salary
Estimated Salary Rangehigh confidence
80,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Cintermediate (programming)
- C++intermediate (programming)
- Javaintermediate (programming)
- Pythonintermediate (programming)
- ML infrastructureadvanced (machine learning)
- Cloud Security and Complianceintermediate (cloud)
- Distributed systemsadvanced (software engineering)
- Machine Learning Operations platformsadvanced (machine learning)
- TensorFlowadvanced (ML framework)
- PyTorchadvanced (ML framework)
- scikit-learnadvanced (ML framework)
- Apache YARNintermediate (data analytics)
- Sparkintermediate (data analytics)
- Hiveintermediate (data analytics)
- Flinkintermediate (data analytics)
Required Qualifications
- Bachelor's degree (degree in Computer Science)
- Coding experience (experience in C, C++, Java, or Python, 5 years)
- ML infrastructure experience (experience in model deployment, model evaluation, optimization, data processing, debugging, 3 years)
- Cloud Security and Compliance (experience, 1 years)
- Building distributed systems (experience, 1 years)
- Building Machine Learning Operations platforms (experience, 1 years)
- Master's or PhD (degree in Computer Science or related technical field)
- Graphics Processing Unit, Tensor Processing Unit, or High Performance Computing clusters (experience, 1 years)
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.
Benefits
- equal opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve.
- accommodations: If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
- culture: Creating a culture of belonging and providing an equal employment opportunity.
Tags & Categories