AI / ML Engineer at Accenture

Bengaluru, Karnataka, India

Accenture Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Minimum 18 years of experience in Large Language Models
  • Proficiency in Large Language Models (Must Have skill)
  • Strong understanding of cloud computing platforms and services
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Familiarity with natural language processing techniques and tools
  • Ability to design and implement scalable AI solutions
  • 15 years full time education

Responsibilities

  • Be a Subject Matter Expert with deep knowledge and experience in AI/ML
  • Demonstrate influencing and advisory skills
  • Engage with multiple teams and take responsibility for team decisions
  • Provide solutions to problems that apply across multiple teams and business areas
  • Collaborate with stakeholders to identify and define project requirements and objectives
  • Mentor junior professionals in best practices and emerging technologies
  • Develop applications and systems utilizing AI tools, Cloud AI services, with production-ready cloud or on-prem pipelines
  • Apply GenAI models, deep learning, neural networks, chatbots, and image processing as part of solutions

Skills

Large Language Models
Generative AI
Deep Learning
Neural Networks
Cloud Computing
AI Tools
Cloud AI Services
Chatbots
Image Processing

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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