S&C Global Network - AI - Insurance - Manager

Accenture; Gurugram District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Accenture AI is seeking a Generative AI Data Scientist Consultant to join our Banking team. You will apply Generative AI, ML, and data analysis to develop innovative AI solutions and enhance capabilities across cloud platforms.

The role includes collaborating with cross-functional teams to design, develop, and deploy AI solutions that meet business needs, with a focus on API exposure and scalable deployment.

Qualifications

• Minimum 3+ years of experience in Data Science and ML with a focus on Generative AI models (LLMs).
• Strong programming in Python and ML frameworks (TensorFlow, PyTorch).
• Experience in API development and model deployment on cloud platforms.

Responsibilities

• Collaborate with product managers, engineers and stakeholders to understand requirements.
• Containerize and deploy generative AI models using Docker, Kubernetes and cloud platforms.
• Design, develop and deploy robust APIs to expose models (GPT, DALL·E, Stable Diffusion) for client integration.
• Engage with clients to tailor API solutions meeting business needs.
• Integrate generative AI models into workflows via APIs and monitor performance.
• Develop data pipelines for real-time or batch processing of AI models.
• Implement security best practices and regulatory compliance for APIs.
• Create comprehensive API documentation, usage examples, SDKs, troubleshooting guides.
• Build automated tests and monitoring for reliability and performance.
• Stay updated on AI, API development and cloud tech to deliver innovations.

Skills

Python programming

Machine Learning

Generative AI

Data Science

API Development

Docker

Kubernetes

Cloud Platforms

Model Deployment

Education

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

Tools

Docker

Kubernetes

AWS

Azure

GCP

OpenAI API knowledge

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.

Professional & Technical Skills

• 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
• Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in API Development and deployment, with hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Ability to build and optimize data pipelines for generative AI models.
• Knowledge of security best practices and ensuring compliance with regulatory standards.
• Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Additional Information

• Experience with large-scale data processing and expertise in NLP or computer vision.
• Contributions to open-source AI/ML projects.
• Experience with cloud integrations, big data technologies, and performance optimization.
• Familiarity with security standards and regulatory compliance in AI solutions.

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