S&C Global Network - AI - Insurance - Manager

Accenture services Pvt Ltd; Gurugram District; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Accenture AI in India seeks a Generative AI Data Scientist Consultant to join the Banking team, leveraging LLMs, ML, data analysis, and cloud platforms to craft innovative AI solutions. You will collaborate with cross-functional teams to design, develop, and implement generative AI capabilities that meet business needs.

The role emphasizes model integration, API development, secure data handling, and scalable deployment across cloud environments, with an agile, client-focused mindset.

Qualifications

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

Responsabilités

• Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver AI solutions.
• Model Deployment: Containerize and deploy generative AI models using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
• API Development: Design, develop, and deploy robust APIs to expose generative AI models for integration into client systems.
• Client Collaboration: Work with clients to understand technical requirements and deliver tailored API solutions.
• Generative AI Model Integration: Integrate generative AI models into existing workflows via APIs.
• Performance Optimization: Improve API latency, scalability, and reliability.
• Data Pipeline Development: Build data pipelines for real-time or batch processing of generative AI models.
• Security and Compliance: Implement security best practices and ensure APIs meet privacy and regulatory standards.
• Documentation: Create API docs, usage examples, SDKs, and troubleshooting guides.
• Testing and Monitoring: Develop automated tests and monitoring for API reliability and performance.
• Stay Updated: Keep up with latest in generative AI, APIs, and cloud tech.

Connaissances

Python Programming

Machine Learning

Statistical Analysis

Data Science

Generative AI

Cloud

Model Deployment

API Development

Docker/Kubernetes

Formation

Bachelor's or Master’s in CS/DS/Statistics/Engineering

Outils

PyTorch

TensorFlow

Large-Scale Data Processing

Cloud Integrations

NLP

Computer Vision

Security Best Practices

Performance Optimization

Open-Source Contributions

Description du poste

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.