S&C Global Network - AI - Insurance - Manager

Accenture; Gurugram District; On-site; INR 1,400,000 - 2,300,000; Full time

Job summary

Accenture AI is seeking a talented Generative AI Data Scientist Consultant to join our Banking team in Gurgaon/Bangalore/Mumbai. The role leverages Generative AI, ML, data analysis, and cloud platforms to design and implement innovative AI solutions across cross-functional teams.

The candidate will collaborate with product managers and engineers to deploy AI models, build scalable APIs, and ensure security and regulatory compliance.

Qualifications

• 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 (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.

Responsibilities

• Work with product managers, engineers, and stakeholders to understand requirements and deliver AI solutions.
• Containerize and deploy generative AI models using Docker, Kubernetes, and cloud platforms.
• Design, develop, and deploy robust APIs to expose generative AI models for client systems.
• Collaborate 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 measures and ensure APIs comply with data privacy and regulatory standards.
• Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
• Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
• Stay updated on advancements in generative AI, API development, and cloud technologies.

Skills

Python programming

Machine learning

Statistical analysis

Data science

Generative AI

Cloud platforms

Model deployment

API development

Docker/Kubernetes

Education

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

Tools

Docker

Kubernetes

AWS

Azure

GCP

TensorFlow

PyTorch

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.

Qualification

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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