Data Scientist - Generative AI
IBM
Data Scientist - Generative AI
Job Description
Data Scientist - Generative AI
📋 Job Overview
As a Generative AI Solution Architect at IBM Consulting, you will design and implement complex GenAI solutions using IBM WatsonX and various ecosystem partner stacks. You will support business development, sales, and delivery of consulting projects in Data & AI, while staying updated with the latest AI market trends and mentoring junior team members.
📍 Location: Gurgaon, IN
💼 Career Level: Professional
🎯 Key Responsibilities
- Designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks
- Supporting business development, sales, and delivery of consulting and system integration projects in Data & AI
- End-to-end technical responsibility during the acquisition, design, and delivery of technically complex GenAI projects at scale
- Development and productive deployment of scalable Generative AI applications and platforms within (hybrid) cloud architectures
- Providing consultation and support in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions
- Guiding and supporting clients and colleagues in the adoption of development and operational processes for AI solutions (Agile DevOps, FinOps, Trustworthy AI, MLOps)
- Staying abreast of the latest developments in the Artificial Intelligence market and research environment
- Actively participating in knowledge transfer within IBM Consulting, especially mentoring junior team members and delivery teams
- Developing the strategy, vision, and roadmap for GenAI architectures within the consulting business
✅ Required Qualifications
- 6-10 years of experience in data and analytics and/or architecture
- 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions
- Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases
- Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X)
- Familiar with relevant concepts (transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face, Open Source)
- Very good at stakeholder management and influencing skills
- Able to convey complex technical concepts to non-technical stakeholders
- Fluent in English
⭐ Preferred Qualifications
- Consultancy skills
🛠️ Required Skills
- IBM WatsonX
- Microsoft Azure
- Open AI
- AWS
- Aleph Alpha
- Open Source
- Transformer model architectures
- Prompt engineering
- Model fine tuning
- Retrieval augmented generation architectures
- Hugging Face
- Agile DevOps
- FinOps
- Trustworthy AI
- MLOps
- Stakeholder management
- Influencing skills
- Consultancy skills
- Ability to convey complex technical concepts to non-technical stakeholders
- English fluency
🎁 Benefits & Perks
- Career growth and development opportunities
- Encouragement to challenge the norm and investigate ideas outside of role
- Supportive environment for continuous learning and experimentation
- Culture of evolution and empathy
- Opportunity to work with visionaries across multiple industries
- Access to IBM's strategic partner ecosystem and robust technology platforms
Locations
- Gurgaon, IN, 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
- IBM WatsonXintermediate
- Microsoft Azureintermediate
- Open AIintermediate
- AWSintermediate
- Aleph Alphaintermediate
- Open Sourceintermediate
- Transformer model architecturesintermediate
- Prompt engineeringintermediate
- Model fine tuningintermediate
- Retrieval augmented generation architecturesintermediate
- Hugging Faceintermediate
- Agile DevOpsintermediate
- FinOpsintermediate
- Trustworthy AIintermediate
- MLOpsintermediate
- Stakeholder managementintermediate
- Influencing skillsintermediate
- Consultancy skillsintermediate
- Ability to convey complex technical concepts to non-technical stakeholdersintermediate
- English fluencyintermediate
Required Qualifications
- 6-10 years of experience in data and analytics and/or architecture (experience)
- 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions (experience)
- Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases (experience)
- Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X) (experience)
- Familiar with relevant concepts (transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face, Open Source) (experience)
- Very good at stakeholder management and influencing skills (experience)
- Able to convey complex technical concepts to non-technical stakeholders (experience)
- Fluent in English (experience)
Preferred Qualifications
- Consultancy skills (experience)
Responsibilities
- Designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks
- Supporting business development, sales, and delivery of consulting and system integration projects in Data & AI
- End-to-end technical responsibility during the acquisition, design, and delivery of technically complex GenAI projects at scale
- Development and productive deployment of scalable Generative AI applications and platforms within (hybrid) cloud architectures
- Providing consultation and support in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions
- Guiding and supporting clients and colleagues in the adoption of development and operational processes for AI solutions (Agile DevOps, FinOps, Trustworthy AI, MLOps)
- Staying abreast of the latest developments in the Artificial Intelligence market and research environment
- Actively participating in knowledge transfer within IBM Consulting, especially mentoring junior team members and delivery teams
- Developing the strategy, vision, and roadmap for GenAI architectures within the consulting business
Benefits
- general: Career growth and development opportunities
- general: Encouragement to challenge the norm and investigate ideas outside of role
- general: Supportive environment for continuous learning and experimentation
- general: Culture of evolution and empathy
- general: Opportunity to work with visionaries across multiple industries
- general: Access to IBM's strategic partner ecosystem and robust technology platforms
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Answer 10 quick questions to check your fit for Data Scientist - Generative AI @ IBM.
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Data Scientist - Generative AI
IBM
Data Scientist - Generative AI
Job Description
Data Scientist - Generative AI
📋 Job Overview
As a Generative AI Solution Architect at IBM Consulting, you will design and implement complex GenAI solutions using IBM WatsonX and various ecosystem partner stacks. You will support business development, sales, and delivery of consulting projects in Data & AI, while staying updated with the latest AI market trends and mentoring junior team members.
📍 Location: Gurgaon, IN
💼 Career Level: Professional
🎯 Key Responsibilities
- Designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks
- Supporting business development, sales, and delivery of consulting and system integration projects in Data & AI
- End-to-end technical responsibility during the acquisition, design, and delivery of technically complex GenAI projects at scale
- Development and productive deployment of scalable Generative AI applications and platforms within (hybrid) cloud architectures
- Providing consultation and support in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions
- Guiding and supporting clients and colleagues in the adoption of development and operational processes for AI solutions (Agile DevOps, FinOps, Trustworthy AI, MLOps)
- Staying abreast of the latest developments in the Artificial Intelligence market and research environment
- Actively participating in knowledge transfer within IBM Consulting, especially mentoring junior team members and delivery teams
- Developing the strategy, vision, and roadmap for GenAI architectures within the consulting business
✅ Required Qualifications
- 6-10 years of experience in data and analytics and/or architecture
- 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions
- Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases
- Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X)
- Familiar with relevant concepts (transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face, Open Source)
- Very good at stakeholder management and influencing skills
- Able to convey complex technical concepts to non-technical stakeholders
- Fluent in English
⭐ Preferred Qualifications
- Consultancy skills
🛠️ Required Skills
- IBM WatsonX
- Microsoft Azure
- Open AI
- AWS
- Aleph Alpha
- Open Source
- Transformer model architectures
- Prompt engineering
- Model fine tuning
- Retrieval augmented generation architectures
- Hugging Face
- Agile DevOps
- FinOps
- Trustworthy AI
- MLOps
- Stakeholder management
- Influencing skills
- Consultancy skills
- Ability to convey complex technical concepts to non-technical stakeholders
- English fluency
🎁 Benefits & Perks
- Career growth and development opportunities
- Encouragement to challenge the norm and investigate ideas outside of role
- Supportive environment for continuous learning and experimentation
- Culture of evolution and empathy
- Opportunity to work with visionaries across multiple industries
- Access to IBM's strategic partner ecosystem and robust technology platforms
Locations
- Gurgaon, IN, 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
- IBM WatsonXintermediate
- Microsoft Azureintermediate
- Open AIintermediate
- AWSintermediate
- Aleph Alphaintermediate
- Open Sourceintermediate
- Transformer model architecturesintermediate
- Prompt engineeringintermediate
- Model fine tuningintermediate
- Retrieval augmented generation architecturesintermediate
- Hugging Faceintermediate
- Agile DevOpsintermediate
- FinOpsintermediate
- Trustworthy AIintermediate
- MLOpsintermediate
- Stakeholder managementintermediate
- Influencing skillsintermediate
- Consultancy skillsintermediate
- Ability to convey complex technical concepts to non-technical stakeholdersintermediate
- English fluencyintermediate
Required Qualifications
- 6-10 years of experience in data and analytics and/or architecture (experience)
- 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions (experience)
- Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases (experience)
- Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X) (experience)
- Familiar with relevant concepts (transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face, Open Source) (experience)
- Very good at stakeholder management and influencing skills (experience)
- Able to convey complex technical concepts to non-technical stakeholders (experience)
- Fluent in English (experience)
Preferred Qualifications
- Consultancy skills (experience)
Responsibilities
- Designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks
- Supporting business development, sales, and delivery of consulting and system integration projects in Data & AI
- End-to-end technical responsibility during the acquisition, design, and delivery of technically complex GenAI projects at scale
- Development and productive deployment of scalable Generative AI applications and platforms within (hybrid) cloud architectures
- Providing consultation and support in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions
- Guiding and supporting clients and colleagues in the adoption of development and operational processes for AI solutions (Agile DevOps, FinOps, Trustworthy AI, MLOps)
- Staying abreast of the latest developments in the Artificial Intelligence market and research environment
- Actively participating in knowledge transfer within IBM Consulting, especially mentoring junior team members and delivery teams
- Developing the strategy, vision, and roadmap for GenAI architectures within the consulting business
Benefits
- general: Career growth and development opportunities
- general: Encouragement to challenge the norm and investigate ideas outside of role
- general: Supportive environment for continuous learning and experimentation
- general: Culture of evolution and empathy
- general: Opportunity to work with visionaries across multiple industries
- general: Access to IBM's strategic partner ecosystem and robust technology platforms
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - Generative AI @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs