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 that use generative models and meet production quality standards
- Develop AI models for complex business needs, then put them into cloud or on-premises systems
- Create scalable AI pipelines and improve system reliability and efficiency through troubleshooting
- Guide team decisions, share knowledge with colleagues and align AI work with stakeholders
What you bring
- At least five years of experience in generative AI
- You need working proficiency in both generative AI and machine learning
- You have completed fifteen years of full-time education
- You have designed and launched AI models in cloud or on-premises environments
Who this fits
This role suits an AI / ML engineer ready to guide team work, contribute to decisions and mentor colleagues. The position is based in Bengaluru.
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 : Generative AI, Machine Learning (ML)
Good to have skills : NA
Minimum 5 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. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer applies generative artificial intelligence models to enhance system capabilities and may work with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities.
Roles & Responsibilities:
- 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 for their immediate team and across multiple teams.
- Lead the development and implementation of AI models to address complex business challenges.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth.
- Coordinate with stakeholders to align AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning (ML).
- Strong experience in designing and deploying AI models in cloud or on-premises environments.
- In-depth understanding of neural networks, deep learning frameworks, and generative model architectures.
- Ability to develop scalable AI pipelines ensuring production-ready quality and performance.
- Familiarity with AI tools and platforms that support chatbot development, image processing, and natural language processing.
- Competence in troubleshooting and optimizing AI systems for reliability and efficiency.
Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our Bengaluru 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 : Generative AI, Machine Learning (ML)
Good to have skills : NA
Minimum 5 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. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer applies generative artificial intelligence models to enhance system capabilities and may work with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities.
Roles & Responsibilities:
- 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 for their immediate team and across multiple teams.
- Lead the development and implementation of AI models to address complex business challenges.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth.
- Coordinate with stakeholders to align AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning (ML).
- Strong experience in designing and deploying AI models in cloud or on-premises environments.
- In-depth understanding of neural networks, deep learning frameworks, and generative model architectures.
- Ability to develop scalable AI pipelines ensuring production-ready quality and performance.
- Familiarity with AI tools and platforms that support chatbot development, image processing, and natural language processing.
- Competence in troubleshooting and optimizing AI systems for reliability and efficiency.
Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our Bengaluru 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.
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