AI / ML Engineer
Hyderabad Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at Accenture. Hyderabad · full-time.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SeniorityMid-level
LocationHyderabad
EmploymentFull-time
PostedOct 29, 2026 · 3d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI applications using cloud services, and prepare their pipelines for reliable production use
- Apply generative AI models to project needs, including language, deep learning or image-processing work
- Turn stakeholder requirements into technical solutions and contribute answers to team problems
- Test and validate AI applications, while assessing new technologies for ways to improve existing systems
- Share model development and deployment knowledge with junior teammates and contribute independently
What you bring
- At least three years working with large language models
- Fifteen years of full-time education
- Experience building, fine-tuning and deploying AI models, including generative AI
- Hands-on work with cloud AI services and production application pipelines
Who this fits
This role suits an AI/ML engineer ready to work independently, contribute to team discussions and guide junior colleagues. The position is based at the Hyderabad office.
From the employer
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : Microsoft Agentic AI Architecture
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing application pipelines that are ready for production deployment, ensuring robust and scalable solutions. The work often includes integrating generative AI models into various projects, which may encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align AI capabilities with business needs is also a key aspect of the daily routine.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance existing systems and processes.
- Support junior team members by sharing knowledge and providing guidance on AI model development and deployment.
- Ensure the quality and reliability of AI applications through rigorous testing and validation.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Microsoft Agentic AI Architecture.
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model development lifecycle including training, fine-tuning, and deployment.
- Experience with cloud AI services and managing application pipelines for production environments.
- Familiarity with deep learning frameworks and neural network design principles.
- Ability to implement and optimize generative AI models for various use cases.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : Microsoft Agentic AI Architecture
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing application pipelines that are ready for production deployment, ensuring robust and scalable solutions. The work often includes integrating generative AI models into various projects, which may encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align AI capabilities with business needs is also a key aspect of the daily routine.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance existing systems and processes.
- Support junior team members by sharing knowledge and providing guidance on AI model development and deployment.
- Ensure the quality and reliability of AI applications through rigorous testing and validation.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Microsoft Agentic AI Architecture.
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model development lifecycle including training, fine-tuning, and deployment.
- Experience with cloud AI services and managing application pipelines for production environments.
- Familiarity with deep learning frameworks and neural network design principles.
- Ability to implement and optimize generative AI models for various use cases.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Machine Learning Engineering
Find me workBy the team behind aimlroles.