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Sparta Systems
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Sr IT Architect

Sr IT Architect

10 - 14 years

|

20 - 25 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Computer science deep learning Networking Data management GCP Machine learning Cloud Data structures Workflow Firewall

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities Full Stack GCP Cloud Engineer

Develop and design AI solutions which include components across Chatbots, Virtual Assistants, and Machine Learning

Collaborate with peers across multiple technology disciplines ensuring AI platform and solutions deliver business and technical requirements

Lead technical workshops in driving strategic initiatives, while developing and managing relationships both internal and external vendors

Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture

Oversee and manage the full AI program life cycle implementations

Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery

Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system.

Implement POC, sample use case, and core platform components for a highly scalable application

Requirements and Skills

Google Vertex AI, Google Big Query, Google DataPlex, Google Data Catalog, Cloud Functions, Cloud Composer, Kubernetes on Google, Networking and Firewall knowledge good to have

Experience implementing, developing and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science specifically on Google Cloud ENvironment

Experience with AI architecture and AI interface design covering diverse range of use cases and deployment models

In-depth knowledge of components and architectural trade-offs across data management, governance, model building and production workflows of AI on GCP is a must

Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment

Demonstrated expertise in modeling techniques with types of algorithm and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction

In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum GCP AI/ML Services and MS Azure ML Services. Google cloud Certification is preferrable

Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns.

Experience with Computer Science fundamentals in data structures, algorithms, and complexity analysis

Good Analytical skills.

Requirements and Skills

Google Vertex AI, Google Big Query, Google DataPlex, Google Data Catalog, Cloud Functions, Cloud Composer, Kubernetes on Google, Networking and Firewall knowledge good to have

Experience implementing, developing and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science specifically on Google Cloud ENvironment

Experience with AI architecture and AI interface design covering diverse range of use cases and deployment models

In-depth knowledge of components and architectural trade-offs across data management, governance, model building and production workflows of AI on GCP is a must

Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment

Demonstrated expertise in modeling techniques with types of algorithm and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction

In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum GCP AI/ML Services and MS Azure ML Services. Google cloud Certification is preferrable

Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns.

Experience with Computer Science fundamentals in data structures, algorithms, and complexity analysis

Good Analytical skills.

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