AI / ML Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 2-3 years of experience in Data Engineering
15 years full time education
Proficiency in Data Engineering (must-have)
Strong understanding of data modeling and ETL processes
Experience with programming languages such as Python, Java, or Scala
Familiarity with machine learning frameworks and libraries like TensorFlow or PyTorch
Good to have: Experience with cloud platforms such as AWS, Azure, or Google Cloud

Responsibilities

Develop applications and systems utilizing AI tools, Cloud AI services, with production-ready cloud or on-prem application pipelines
Apply GenAI models as part of solutions, including deep learning, neural networks, chatbots, image processing
Perform independently and become a subject matter expert (SME)
Actively participate and contribute in team discussions
Contribute to providing solutions for work-related problems
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications
Continuously evaluate and improve existing systems and processes to enhance efficiency and effectiveness

Skills

Data Engineering

GenAI

Deep Learning

Neural Networks

Chatbots

Image Processing

ETL

Data Modeling

AWS

Azure

Google Cloud

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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