AI / ML Engineer at Accenture

Pune, Maharashtra, India

Accenture Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Minimum 3 years of experience in Spring Boot
  • Proficiency in Spring Boot (Must Have skill)
  • Strong understanding of cloud services and deployment strategies
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Familiarity with data processing and analysis tools
  • Knowledge of software development best practices and agile methodologies
  • 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 team members to brainstorm and develop innovative AI solutions
  • Conduct thorough testing and validation of AI models to ensure optimal performance
  • 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

Spring Boot
AI
ML
TensorFlow
PyTorch
Cloud Services
GenAI
Deep Learning
Neural Networks
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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