Technology Architect
Accenture
Technology Architect
Job Description
Project Role : Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: • Create JSON to the PXE acceptable format • Integrates Dialogflow with PXE and OSSP to enable real-time data processing • Implements error-handling and defining attributes to ensure robust execution of steering bot Professional & Technical Skills: 1. Experience in working with JSON payloads 2. Knowledge and Understanding of Conversational Bot's/Chat bot flow is preferred. 3. Knowledge of GitHub integration. 4. Knowledge of Rest API's is a must. Additional Information: The candidate should have a minimum of 2 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required.
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: • Create JSON to the PXE acceptable format • Integrates Dialogflow with PXE and OSSP to enable real-time data processing • Implements error-handling and defining attributes to ensure robust execution of steering bot Professional & Technical Skills: 1. Experience in working with JSON payloads 2. Knowledge and Understanding of Conversational Bot's/Chat bot flow is preferred. 3. Knowledge of GitHub integration. 4. Knowledge of Rest API's is a must. Additional Information: The candidate should have a minimum of 2 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required.
Locations
- Noida, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Google Cloud Platform Architectureintermediate
- Experience in working with JSON payloadsintermediate
- Knowledge of GitHub integrationintermediate
- Knowledge of Rest API'sintermediate
- Google Cloud Machine Learning Servicesintermediate
Required Qualifications
- Minimum 2 year(s) of experience is required (experience)
- 15 years full time education (experience)
- Strong educational background in computer science, mathematics, or a related field (experience)
- Proven track record of delivering impactful data-driven solutions (experience)
- Minimum of 2 years of experience in Google Cloud Machine Learning Services (experience)
Preferred Qualifications
- Knowledge and Understanding of Conversational Bot's/Chat bot flow (experience)
Responsibilities
- Design and deliver technology architecture for a platform, product, or engagement
- Define solutions to meet performance, capability, and scalability needs
- Develop applications and systems that utilize AI tools and Cloud AI services
- Apply CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots
- Create JSON to the PXE acceptable format
- Integrates Dialogflow with PXE and OSSP to enable real-time data processing
- Implements error-handling and defining attributes to ensure robust execution of steering bot
Tags & Categories
Technology Architect
Accenture
Technology Architect
Job Description
Project Role : Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: • Create JSON to the PXE acceptable format • Integrates Dialogflow with PXE and OSSP to enable real-time data processing • Implements error-handling and defining attributes to ensure robust execution of steering bot Professional & Technical Skills: 1. Experience in working with JSON payloads 2. Knowledge and Understanding of Conversational Bot's/Chat bot flow is preferred. 3. Knowledge of GitHub integration. 4. Knowledge of Rest API's is a must. Additional Information: The candidate should have a minimum of 2 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required.
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: • Create JSON to the PXE acceptable format • Integrates Dialogflow with PXE and OSSP to enable real-time data processing • Implements error-handling and defining attributes to ensure robust execution of steering bot Professional & Technical Skills: 1. Experience in working with JSON payloads 2. Knowledge and Understanding of Conversational Bot's/Chat bot flow is preferred. 3. Knowledge of GitHub integration. 4. Knowledge of Rest API's is a must. Additional Information: The candidate should have a minimum of 2 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required.
Locations
- Noida, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Google Cloud Platform Architectureintermediate
- Experience in working with JSON payloadsintermediate
- Knowledge of GitHub integrationintermediate
- Knowledge of Rest API'sintermediate
- Google Cloud Machine Learning Servicesintermediate
Required Qualifications
- Minimum 2 year(s) of experience is required (experience)
- 15 years full time education (experience)
- Strong educational background in computer science, mathematics, or a related field (experience)
- Proven track record of delivering impactful data-driven solutions (experience)
- Minimum of 2 years of experience in Google Cloud Machine Learning Services (experience)
Preferred Qualifications
- Knowledge and Understanding of Conversational Bot's/Chat bot flow (experience)
Responsibilities
- Design and deliver technology architecture for a platform, product, or engagement
- Define solutions to meet performance, capability, and scalability needs
- Develop applications and systems that utilize AI tools and Cloud AI services
- Apply CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots
- Create JSON to the PXE acceptable format
- Integrates Dialogflow with PXE and OSSP to enable real-time data processing
- Implements error-handling and defining attributes to ensure robust execution of steering bot
Tags & Categories