AI / ML Engineer at Accenture

Bengaluru, Karnataka, India

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

Requirements

  • Minimum 12 years of experience in Data Science
  • 15 years full time education
  • Proficiency in Data Science (Must have skill)
  • Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Strong understanding of data manipulation and analysis using tools like Pandas and NumPy
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions
  • Experience in developing and implementing algorithms for predictive modeling and data analysis
  • Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization

Responsibilities

  • Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact (Expected to be an SME)
  • Collaborate and manage the team to perform
  • Responsible for team decisions
  • Engage with multiple teams and contribute on key decisions
  • Provide solutions to problems that apply across multiple teams
  • Facilitate knowledge sharing and mentorship within the team to foster professional growth
  • Continuously evaluate and improve existing processes and systems to enhance performance and reliability
  • Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality
  • Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, image processing

Skills

AI
ML
Generative AI
Agentic AI
Deep Learning
Neural Networks
Chatbots
Image Processing
Data Science
Cloud AI

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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