A

Accenture

Advises businesses and runs their technology

AI / ML Engineer

Full-TimeUpdated on 10/23/2026
No salary listed
Senior
Bachelor's, PhD
Hyderabad, Telangana, India
In Person
AI & Machine LearningNatural Language Processing & LLMs

About the job

Requirements
  • At least 5 years of experience is required.
  • Must have 15 years of full-time education.
  • Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
  • Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • Must have strong knowledge of data structures, algorithms, and software engineering principles.
  • Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
  • Must have experience with natural language processing techniques and tools, such as SpaCy, NLTK, or Hugging Face.
  • Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
  • Must have knowledge of software development methodologies, such as Agile or Scrum.
  • Must have experience working with cloud-based platforms such as AWS, Azure, or related services.
  • Must have proficiency in handling various data formats and sources through omnichannel systems for speech and voice applications in conversational AI.
  • Must have prior statistical modeling experience.
  • Must have demonstrable experience with deep learning algorithms and neural networks.
  • Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Must have problem-solving and analytical skills.
  • Must have strong communication skills to convey complex technical concepts to diverse audiences.
  • Must be able to work independently and collaboratively.
Responsibilities
  • Develop applications and systems using AI tools and cloud AI services, with cloud or on-premises application pipelines that meet production quality standards; apply generative AI models as part of solutions, potentially including deep learning, neural networks, chatbots, and image processing.
  • Implement generative AI models and identify insights that can inform business decisions.
  • Work with multifunctional teams to understand business problems, develop and test hypotheses with data, and define AI project requirements and objectives aligned with business goals.
  • Research developments in generative AI, machine learning, and deep learning, and identify opportunities to integrate them into products and services.
  • Optimize existing generative AI models for performance, scalability, and efficiency.
  • Ensure data quality and accuracy.
  • Design and develop prompt-engineering strategies and techniques to optimize generative AI model performance and output.
  • Implement natural language processing techniques and prompt-engineering methodologies to improve generative AI model capabilities and efficiency.
  • Determine effective prompt-generation processes and approaches, collaborating with AI researchers and developers.
  • Develop documentation, including technical specifications, user guides, and presentations, to communicate AI concepts to technical and non-technical stakeholders.
  • Contribute to best practices and standards for generative AI development within the organization.
Desired Qualifications
  • A Ph.D. is highly desirable.

About the company

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company Size

10,001+

Company Stage

IPO

Headquarters

Dublin, Ireland

Founded

1989

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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

  • Health Insurance
  • Professional Development Budget
  • 401(k) Retirement Plan
  • 401(k) Company Match

Company News

Yahoo Finance
Oct 23rd, 2026
Accenture jumps 19% on earnings beat as SEC opens private assets to retail investors

Accenture shares rose about 19% after the consulting firm beat earnings and revenue expectations for its fiscal 2026 year, and guided fiscal 2027 slightly above Wall Street forecasts. Revenue grew 5% in local currency; management expects 3% to 6% growth next year. Non-GAAP operating margin edged up to 15.8%. The stock had dipped below 10 times expected earnings and now trades at about 14 times. Accenture said 65% of new bookings came from outcome-based fixed-price projects, which a Motley Fool contributor called a counterweight to AI's unpredictable costs. Separately, new US Securities and Exchange Commission rules aim to open private assets to retail investors. They raise the performance fee cap for registered advisers, add professional licences as a route to accredited investor status, and give private funds more leeway on redemptions.

Yahoo Finance
Oct 22nd, 2026
Accenture eyes $1.5B Greater China sale while building Gemini AI launchpads for US agencies

Accenture's federal arm, Accenture Federal Services, is working with Google Public Sector on Gemini launchpads for US federal agencies. The tools aim to help agencies build generative AI models into mission workflows and internal operations. Separately, Accenture is reviewing options for its Greater China business, including a possible sale. A deal was reported at up to $1.5 billion, and the company has hired JPMorgan to explore options. Accenture, a US-based IT consulting and managed services group, has a market value of about $141.3 billion. Investors are watching for contract wins from the Gemini work and any formal update on the China review.

Business Wire
Oct 21st, 2026
TÜV SÜD and Accenture unveil physical AI safety suite to bring factories online up to 30% sooner

TÜV SÜD and Accenture are working with NVIDIA technologies to speed up safety certification of robots in factories and warehouses. They unveiled a joint "Physical AI Safety Suite" at NVIDIA GTC Berlin. The suite uses digital twins, AI agents, and simulations to partly replace manual assessments. TÜV SÜD estimates the digital process could bring production online up to 30% sooner. Certification against standards such as ISO 3691-4 is mandatory in many industrial countries before automated facilities can start. At a medium-sized plant, agreeing on safety concepts can take several weeks. The suite checks layouts, robot fleets, and individual robots before deployment. TÜV SÜD provides independent assessment and keeps responsibility for certification.

Yahoo Finance
Oct 16th, 2026
Accenture caps staff AI spending at $29 a month after $1,000 bills

Accenture has capped employee AI spending at $29 (£21.75) a month after some staff ran up bills of $1,000, according to a report by 404 Media. The consulting firm wants to curb runaway costs as employees use AI for more everyday tasks. Companies are typically billed by usage, like a utility. Last week, some staff were told their access to Anthropic's Claude had been pulled entirely. Others are also reining in costs. Uber capped engineers' Claude spending at $1,500 a month after using up its AI budget in four months, while Microsoft has reportedly cut its Claude spending by about a third. The curbs come as Anthropic prepares for a public listing, targeting a valuation as high as $2tn. Investors are reportedly considering about $1.5tn.

Yahoo Finance
Oct 16th, 2026
Accenture's AI push: analysts see earnings reaching $10.3B by 2029 on 5.2% yearly revenue growth

Accenture is shifting AI work from pilots to deeply embedded systems, according to recent deals with UMass Memorial Health, Dell, Microsoft and Workday. The UMass Memorial project is a multi-year AI data platform, while the Dell alliance pitches private AI infrastructure to regulated clients. Analysts expect revenue to grow 5.2% a year over the next three years, with profit margins rising from 11.3% to 11.9%. They forecast earnings of $10.3 billion by 2029, up from $8.4 billion today, on revenue of $86.3 billion. The stock trades at a price-to-earnings ratio of 14.2x, against 21.9x for US IT peers. Risks include slower decision cycles in federal and EMEA work, which could curb consulting demand and margins.