S&C Global Network - AI - Insurance – Sr Analyst

Accenture in India; Gurugram District; On-site; INR 1,500,000 - 2,300,000; Full time

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.

Qualifications

• Must have 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.

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, Google Cloud).
• Design, develop and deploy robust APIs to expose generative AI models for integration into client systems.
• Work with clients to understand technical 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 real-time or batch processing for generative AI models.
• Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
• Create comprehensive API documentation, including usage examples and troubleshooting guides.
• Develop automated testing frameworks and monitoring systems for API reliability and performance.

Skills

Python

Machine Learning

Statistical Analysis

Data Science

Generative AI

Cloud Platforms

Model Deployment

API Development

Docker/Kubernetes

Education

Bachelors/Masters in CS/DS/Statistics/Engineering

Tools

PyTorch

TensorFlow

Large-Scale Data Processing

Cloud Integrations

NLP

Computer Vision

Security Best Practices

Performance Optimization

Open-Source Contributions

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.