AI / ML Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Mid Level
Posted 6 days ago
About the Role
Accenture is a global professional services company helping organizations build their digital core and optimize operations. This role involves designing and building scalable, production-ready AI applications and systems using cloud services and generative AI technologies.
Skills
Data Science
Artificial Intelligence
Machine Learning
Cloud AI Services
Generative AI
Deep Learning
Neural Networks
Chatbots
Image Processing
Application Pipelines
Model Deployment
Technical Documentation
System Reliability
Cross-functional Collaboration
Full job details
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 : Data Science
Good to have skills : NA
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 services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models, working with deep learning frameworks, and developing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical implementations with project goals is also a key part of the daily routine, fostering innovation and continuous improvement in AI-driven solutions.
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 team members to optimize AI model performance and deployment strategies.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
- Continuously monitor and improve the reliability and efficiency of AI applications.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience in designing and implementing AI and machine learning models.
- Strong knowledge of cloud AI services and deployment pipelines.
- Familiarity with generative AI models and their practical applications.
- Understanding of deep learning techniques, neural networks, and image processing.
- Ability to develop and maintain production-quality AI systems.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our BDC7C - SEZ 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 : Data Science
Good to have skills : NA
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 services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models, working with deep learning frameworks, and developing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical implementations with project goals is also a key part of the daily routine, fostering innovation and continuous improvement in AI-driven solutions.
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 team members to optimize AI model performance and deployment strategies.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
- Continuously monitor and improve the reliability and efficiency of AI applications.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience in designing and implementing AI and machine learning models.
- Strong knowledge of cloud AI services and deployment pipelines.
- Familiarity with generative AI models and their practical applications.
- Understanding of deep learning techniques, neural networks, and image processing.
- Ability to develop and maintain production-quality AI systems.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our BDC7C - SEZ 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.