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3.5

based on 10k Reviews

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2079 Ernst & Young Jobs

SAP-GENAI HUB-Manager

4-7 years

₹ 15 - 44L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

SAP-GENAI HUB-Manager

Ernst & Young

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

We are looking for an experienced SAP AI Core/ Gen AI Hub Specialist with a strong background in building end-to-end solutions. The ideal candidate will have hands-on experience with SAP AI Hub and a deep understanding of its components and functionalities. This role requires a deep understanding of AI and machine learning principles, excellent problem-solving skills, and the ability to work collaboratively with cross-functional teams. You will work closely with cross-functional teams to understand business requirements and translate them into effective AI-driven applications. Your expertise in using vector engines to handle complex data will be crucial in delivering high-performance AI models. The role requires a deep understanding of ABAP programming and the ability to translate business requirements into robust AI-driven applications.
Preferred Skills:
  • Experience with cloud platforms such as SAP BTP, Azure.
  • Familiarity with other AI and machine learning tools and platforms.
  • Must have Hands on experience on vector engines for AI model optimization.
  • Strong understanding of AI and machine learning principles, algorithms, and frameworks.
  • Experience working with DevOps including but not limited to container technologies like Docker Kubernetes.
  • Experience with integrating AI solutions into SAP environments.
  • Must have good knowledge on Prompt engineering and Machine learning.
  • Proficiency in programming languages such as Python, Node JS.
  • Excellent analytical and problem-solving skills.
  • Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to work effectively in a team-oriented environment and collaborate with cross-functional teams.
  • Strong communication and collaboration abilities.
Key Responsibilities:
  • Design, develop, and deploy AI solutions using SAP AI Hub.
  • Understand the concept of building multi talent reuse services running on SAP Business Technology platform.
  • Implement and optimize vector engines to enhance AI solution performance.
  • You will need to understand the containerization of microservices and their deployments into different runtimes like kyma , cloud foundry and kubernetes.
  • Develop and maintain ABAP programs to support AI initiatives, ensuring seamless integration with existing SAP systems.
  • Integrate AI solutions with existing SAP systems and other enterprise applications.
  • Conduct thorough testing and validation of AI models and solutions.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Collaborate with stakeholders to understand business needs and translate them into technical requirements.
  • Develop and execute comprehensive testing plans to ensure the accuracy and reliability of AI solutions.
  • Maintain detailed documentation of solution designs, development processes, and deployment procedures.
  • As a Joule and Gen Al developer, you will play a crucial role in shaping SAPs vision and future by working on building a platform that provides natural language processing capabilities and integrates seamlessly with other SAP products.
  • Integrating ABAP with SAP AI Hub for data extraction and processing.
  • Develop custom ABAP programs and functions to support AI solution integration within the SAP environment.

Employment Type: Full Time, Permanent

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Ernst & Young Interview Questions & Tips

Prepare for Ernst & Young Manager roles with real interview advice

Top Ernst & Young Manager Interview Questions

Q1. What is your understanding of normalization, facts, and dimensions in the context of database design?
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Q2. What is high availability orchestrator? When HA needed What is Orchestrator API What is process mining What is fuzzy selector
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Q3. How to estimate baseline of a demand prediction model ?
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What people at Ernst & Young are saying

3.2
 Rating based on 324 Manager reviews

Likes

Knowledge database, Consistent Practice, Great Team

Dislikes

Work life balance is miserable, they want work 24*7, weekends are not in the dictionary. Even after giving your all time efforts are never recognised

Read 324 reviews

Manager salary at Ernst & Young

reported by 7.4k employees with 4-18 years exp.
₹16.5 L/yr - ₹51.1 L/yr
80% more than the average Manager Salary in India
View more details

What Ernst & Young employees are saying about work life

based on 10k employees
73%
91%
52%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Ernst & Young Benefits

Work From Home
Soft Skill Training
Health Insurance
Job Training
Team Outings
Cafeteria +6 more
View more benefits

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Ernst & Young Bangalore / Bengaluru Office Locations

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Bangalore Office
Ernst & Young, 3rd Floor, Tower C, RMZ Infinity Municipal No. 3, Survey No 1477/2 & 10, Old Madras Road, Benniganahalli, K.R. Puram Bangalore
Karnataka 560016
Bengaluru Office
Ernst & Young Tower C, 3rd Floor, RMZ Infinity Municipal No. 3, Old Madras Road Survey No 1477/2 & 10 Benniganahalli, K.R. Puram 560016 Bengaluru Ernst & Young UB City, Canberra Block 12th & 13th Floor No. 24, Vittal Mallya Road Bengaluru Bengaluru
560001

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