SandC Global Network - AI - Insurance - Manager

Accenture in India; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Accenture in India is seeking a Generative AI Data Scientist Consultant to join our Banking team. The role focuses on leveraging Generative AI models, ML, data analysis, and cloud platforms to build innovative AI solutions.

This position requires collaborating with cross-functional teams to design, develop, and deploy AI solutions that meet business needs, including API exposure and model deployment on cloud environments.

Qualifications

• Minimum 3+ years of experience in Data Science, ML, or related fields with focus on Generative AI models (LLMs) and API development.
• Bachelor’s or Master’s in CS/DS/Statistics/Engineering or related Analytics discipline from a premier institute.
• Strong experience deploying AI/ML models and building robust APIs.

Responsibilities

• Collaboration with product managers, engineers, and stakeholders to deliver AI solutions.
• Containerize and deploy generative AI models using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
• Design, develop, and deploy robust APIs to expose generative AI models for client integration.
• Work with clients to understand requirements and deliver tailored API solutions.
• Integrate generative AI models into existing workflows via APIs.
• Optimize API performance for latency, scalability, and reliability.
• Build and maintain data pipelines to support AI models.
• Implement security best practices and ensure API compliance with data privacy standards.
• Create API documentation, SDKs, and troubleshooting guides.
• Develop automated testing and monitoring for API reliability and performance.
• Stay updated on generative AI, API development, and cloud tech.

Skills

Python Programming

Machine Learning

Statistical Analysis

Data Science

Generative AI (GPT, DALL·E, GANs)

Cloud (AWS/Azure/GCP)

Model Deployment

API Development

Education

Bachelor’s or Master’s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline

Tools

Docker

Kubernetes

Job description

Job Description

Management Level

09 - Senior Consultant

Location

Gurgaon/Bangalore/Mumbai

Must have skills

Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALL·E, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills

PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions

Experience

Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development.

Educational Qualification

Bachelor's or Master’s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.

Job Summary

Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.

Roles & Responsibilities

• Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
• Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
• API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs) for integration into client systems and applications.
• Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
• Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs.
• Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
• Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models.
• Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
• Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
• Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
• Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.