Risk & Finance Data Engineer
Capgemini
Risk & Finance Data Engineer
Job Description
Risk & Finance Data Engineer
📋 Job Overview
The Risk & Finance Data Engineer role at Capgemini Invent involves designing and developing advanced generative AI-based multi-agent systems and RAG-based chatbot solutions to drive innovative transformation for clients. The position requires expertise in AI model development, prompt engineering, and performance evaluation to tackle complex objectives in data-driven environments. Join a global team focused on blending technology, creativity, and science for sustainable business impact.
📍 Location: Gurgaon
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives
- Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources
- Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication
- Build, train, and fine-tune generative AI models for various applications within multi-agent systems
- Develop robust evaluation frameworks to measure and improve multi-agent system performance
✅ Required Qualifications
- 4+ years of professional experience in data science or machine learning engineering
- Extensive experience with Python programming and related data science/ML libraries
- Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models)
- Proven experience building RAG-based systems and implementing vector databases
- Strong background in prompt engineering for large language models
🛠️ Required Skills
- Python programming
- Data science/ML libraries
- Generative AI models (LLMs, diffusion models)
- RAG-based systems
- Vector databases
- Prompt engineering for large language models
- Multi-agent systems development
- AI model training and fine-tuning
- Evaluation frameworks for AI performance
🎁 Benefits & Perks
- Flexible work arrangements including remote work
- Flexible work hours to maintain healthy work-life balance
Locations
- Gurgaon, India
Salary
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
- Python programmingintermediate
- Data science/ML librariesintermediate
- Generative AI models (LLMs, diffusion models)intermediate
- RAG-based systemsintermediate
- Vector databasesintermediate
- Prompt engineering for large language modelsintermediate
- Multi-agent systems developmentintermediate
- AI model training and fine-tuningintermediate
- Evaluation frameworks for AI performanceintermediate
Required Qualifications
- 4+ years of professional experience in data science or machine learning engineering (experience)
- Extensive experience with Python programming and related data science/ML libraries (experience)
- Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) (experience)
- Proven experience building RAG-based systems and implementing vector databases (experience)
- Strong background in prompt engineering for large language models (experience)
Responsibilities
- Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives
- Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources
- Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication
- Build, train, and fine-tune generative AI models for various applications within multi-agent systems
- Develop robust evaluation frameworks to measure and improve multi-agent system performance
Benefits
- general: Flexible work arrangements including remote work
- general: Flexible work hours to maintain healthy work-life balance
Tags & Categories
Answer 10 quick questions to check your fit for Risk & Finance Data Engineer @ Capgemini.
Related Books and Jobs
Risk & Finance Data Engineer
Capgemini
Risk & Finance Data Engineer
Job Description
Risk & Finance Data Engineer
📋 Job Overview
The Risk & Finance Data Engineer role at Capgemini Invent involves designing and developing advanced generative AI-based multi-agent systems and RAG-based chatbot solutions to drive innovative transformation for clients. The position requires expertise in AI model development, prompt engineering, and performance evaluation to tackle complex objectives in data-driven environments. Join a global team focused on blending technology, creativity, and science for sustainable business impact.
📍 Location: Gurgaon
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives
- Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources
- Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication
- Build, train, and fine-tune generative AI models for various applications within multi-agent systems
- Develop robust evaluation frameworks to measure and improve multi-agent system performance
✅ Required Qualifications
- 4+ years of professional experience in data science or machine learning engineering
- Extensive experience with Python programming and related data science/ML libraries
- Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models)
- Proven experience building RAG-based systems and implementing vector databases
- Strong background in prompt engineering for large language models
🛠️ Required Skills
- Python programming
- Data science/ML libraries
- Generative AI models (LLMs, diffusion models)
- RAG-based systems
- Vector databases
- Prompt engineering for large language models
- Multi-agent systems development
- AI model training and fine-tuning
- Evaluation frameworks for AI performance
🎁 Benefits & Perks
- Flexible work arrangements including remote work
- Flexible work hours to maintain healthy work-life balance
Locations
- Gurgaon, India
Salary
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
- Python programmingintermediate
- Data science/ML librariesintermediate
- Generative AI models (LLMs, diffusion models)intermediate
- RAG-based systemsintermediate
- Vector databasesintermediate
- Prompt engineering for large language modelsintermediate
- Multi-agent systems developmentintermediate
- AI model training and fine-tuningintermediate
- Evaluation frameworks for AI performanceintermediate
Required Qualifications
- 4+ years of professional experience in data science or machine learning engineering (experience)
- Extensive experience with Python programming and related data science/ML libraries (experience)
- Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) (experience)
- Proven experience building RAG-based systems and implementing vector databases (experience)
- Strong background in prompt engineering for large language models (experience)
Responsibilities
- Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives
- Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources
- Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication
- Build, train, and fine-tune generative AI models for various applications within multi-agent systems
- Develop robust evaluation frameworks to measure and improve multi-agent system performance
Benefits
- general: Flexible work arrangements including remote work
- general: Flexible work hours to maintain healthy work-life balance
Tags & Categories
Answer 10 quick questions to check your fit for Risk & Finance Data Engineer @ Capgemini.
Related Books and Jobs