S&C Global Network - AI - FS Banking & Capital-Manager at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, Financial ServicesIndustries

Requirements

Minimum 3+ years of experience in Data Science, Machine Learning, 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
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
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
Excellent communication skills

Responsibilities

Collaborate with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions
Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud)
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
Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs
Integrate generative AI models into existing workflows, applications, and platforms via APIs
Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences
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, SDKs, and troubleshooting guides
Develop automated testing frameworks and monitoring systems to ensure API reliability and performance
Stay updated with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients

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

PyTorch

TensorFlow

NLP

Computer Vision

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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