Large Language Model Architect at Accenture

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 3 years of experience in Large Language Models
Proficiency in Large Language Models
Strong understanding of neural network architectures and their applications in natural language processing
Experience with training models on large datasets and optimizing performance
Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch
Ability to analyze and interpret model outputs to inform further development
15 years full time education

Responsibilities

Perform independently and become a subject matter expert (SME)
Actively participate and contribute in team discussions
Contribute to providing solutions to work-related problems
Collaborate with data scientists and engineers to refine model architecture and improve performance
Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies
Collaborate with cross-functional teams to define model requirements
Experiment with various neural network architectures
Analyze the performance of models trained on extensive datasets
Document findings and present them to stakeholders, ensuring models meet desired specifications and performance metrics
Architect large language models (LLM) that can process and generate natural language, including designing neural network parameters trained on large quantities of unlabeled text data

Skills

Key technologies and capabilities for this role

Large Language ModelsNeural Network ArchitecturesNatural Language Processing

Questions & Answers

Common questions about this position

What is the minimum experience required for this role?

Minimum 3 years of experience in Large Language Models is required.

Is this position remote or office-based?

This position is based at our Mumbai office.

What key skills are required for the Large Language Model Architect role?

Must-have skills include proficiency in Large Language Models, strong understanding of neural network architectures for NLP, experience training models on large datasets, familiarity with Python and frameworks like TensorFlow or PyTorch, and ability to analyze model outputs.

What does a typical day look like for this role?

A typical day involves collaborating with cross-functional teams to define model requirements, experimenting with neural network architectures, analyzing model performance on extensive datasets, documenting findings, and presenting to stakeholders.

What education is required for this position?

A 15 years full time education is required.

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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