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 7, 2026 · 2w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and release AI and ML models, keeping their quality and efficiency in view
- Develop AI systems using cloud or on-premises pipelines that are ready for production
- Apply generative AI and, where projects call for it, work on neural networks, chatbots or image processing
- Guide junior colleagues, make decisions for the team and solve issues affecting multiple teams
- Align AI work across functions and help shape key technical choices
What you bring
- At least five years of work focused on machine learning
- You have completed fifteen years of full-time education
- You know deep learning frameworks and neural network structures
- You have used cloud AI offerings and built deployment paths for scalable solutions
- You can apply generative AI models to practical tasks
Who this fits
This role suits a mid-level machine learning engineer who can guide junior colleagues, lead delivery and make team decisions. The position is based at the HDC3B - SEZ location in Hyderabad.
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 : 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 / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative artificial intelligence models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals and continuous refinement of AI-driven applications are key aspects of the daily workflow.
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 deployment of AI and machine learning models ensuring high quality and efficiency.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to align AI initiatives with organizational objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong knowledge of deep learning frameworks and neural network architectures.
- Experience with cloud AI services and deployment pipelines for scalable AI solutions.
- Familiarity with generative AI models and their practical applications.
- Ability to work with image processing techniques and chatbot development.
- Competence in optimizing AI models for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our HDC3B - SEZ location.
- 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 : 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 / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative artificial intelligence models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals and continuous refinement of AI-driven applications are key aspects of the daily workflow.
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 deployment of AI and machine learning models ensuring high quality and efficiency.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to align AI initiatives with organizational objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong knowledge of deep learning frameworks and neural network architectures.
- Experience with cloud AI services and deployment pipelines for scalable AI solutions.
- Familiarity with generative AI models and their practical applications.
- Ability to work with image processing techniques and chatbot development.
- Competence in optimizing AI models for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our HDC3B - SEZ location.
- 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.