Full Stack LLM Development (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles

Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, ConsultingIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with proficiency in front-end (HTML, CSS, JavaScript, React, Angular) and back-end technologies (Node.js, Python, Java, .NET). Experience with databases (SQL and NoSQL), cloud platforms (AWS, Azure, GCP), and AI/ML frameworks (TensorFlow, PyTorch) is essential, along with a strong understanding of data structures, algorithms, and software design principles. Specific experience levels are required for Consultant (4+ years), Manager (6+ years), and Senior Manager (8+ years) roles, including AI/ML integration, full-stack development, and client-facing experience.

Responsibilities

The role involves end-to-end design, development, and maintenance of full-stack applications, including the development and fine-tuning of Large Language Models (LLMs). Responsibilities include integrating AI/ML models into applications, writing clean and maintainable code, implementing testing frameworks, deploying applications to cloud platforms, and monitoring performance. Additionally, responsibilities include engaging with clients to understand needs and deliver AI solutions, mentoring junior engineers, and leading and managing projects to ensure timely delivery.

Skills

Full Stack Development

Large Language Models (LLMs)

Machine Learning

HTML

CSS

JavaScript

React

Angular

Node.js

Python

Java

.NET

SQL

NoSQL

AWS

Azure

GCP

TensorFlow

PyTorch

Software Development

Testing

Cloud Deployment

Client Engagement

Mentoring

Project Management

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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