AI / ML Engineer at Accenture

Indore, Madhya Pradesh, India

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

Requirements

  • Minimum 5 years of experience in Large Language Models
  • Proficiency in Large Language Models (Must Have skill)
  • Strong understanding of cloud-based AI services and deployment strategies
  • 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

  • Develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline ensuring production-ready quality
  • Apply GenAI models as part of solutions (may include deep learning, neural networks, chatbots, image processing)
  • Act as a Subject Matter Expert (SME)
  • Collaborate and manage the team to perform
  • Be responsible for team decisions
  • Engage with multiple teams and contribute to key decisions
  • Provide solutions to problems for immediate team and across multiple teams
  • Mentor junior team members to enhance their skills and knowledge
  • Continuously evaluate and improve existing processes and workflows

Skills

Large Language Models
Generative AI
Deep Learning
Neural Networks
TensorFlow
PyTorch
Cloud AI Services
Natural Language Processing
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.

Land your dream remote job 3x faster with AI