AI / ML Engineer
Bengaluru Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at Accenture. Bengaluru · full-time.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 7, 2026 · 2w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Design and build AI applications that use generative models and cloud AI services, ready for cloud or on-premises deployment
- Create dependable AI pipelines and connect chatbot or image-processing components with larger systems
- Lead AI solution design and delivery, solving technical issues for your team and across teams
- Guide junior engineers and coordinate with stakeholders on AI work and project decisions
What you bring
- At least five years working with large language models
- A record of developing and deploying AI applications on cloud AI services and on-premises infrastructure
- Fifteen years of full-time education
Who this fits
This mid-level role suits an experienced LLM engineer ready to lead solution work, make team decisions and mentor junior colleagues. The position is based at the Bengaluru 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 : 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 and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working with deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality standards throughout the development lifecycle are also key aspects of the role.
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 design and implementation of AI-driven solutions that meet project requirements and quality standards.
- Mentor junior team members to support their professional growth and enhance team capabilities.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications in real-world solutions.
- Familiarity with deep learning techniques, neural networks, and natural language processing.
- Ability to design scalable AI pipelines that ensure production-ready quality and reliability.
- Competence in integrating AI components such as chatbots and image processing modules into larger systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- 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 : Large Language Models (LLMs)
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 and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working with deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality standards throughout the development lifecycle are also key aspects of the role.
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 design and implementation of AI-driven solutions that meet project requirements and quality standards.
- Mentor junior team members to support their professional growth and enhance team capabilities.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications in real-world solutions.
- Familiarity with deep learning techniques, neural networks, and natural language processing.
- Ability to design scalable AI pipelines that ensure production-ready quality and reliability.
- Competence in integrating AI components such as chatbots and image processing modules into larger systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- 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.