AI / ML Engineer
Accenture
- Location
- Onsite (pune, Maharashtra)
- Employment
- Full-time
- Level
- Mid Level
Posted 1 day ago
About the Role
Accenture is seeking an AI/ML Engineer to design and build production-ready AI applications using cloud services and generative models. The role involves managing end-to-end deployment pipelines and optimizing AI systems for scalability and reliability.
Skills
Machine Learning Operations
Cloud Platforms
AI Service Integration
Model Deployment
Model Monitoring
Model Lifecycle Management
Containerization
Orchestration
AI Pipeline Optimization
Generative AI
Deep Learning
Neural Networks
Chatbots
Image Processing
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 : Machine Learning Operations
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 solutions with project goals is also a key aspect of the role, fostering innovation and continuous improvement in AI-driven products.
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 deployment and maintenance.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms and AI service integration.
- Strong understanding of model deployment, monitoring, and lifecycle management.
- Familiarity with containerization and orchestration tools for scalable AI solutions.
- Ability to troubleshoot and optimize AI pipelines for performance and reliability.
Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning Operations.
- This position is based at our Pune 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 : Machine Learning Operations
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 solutions with project goals is also a key aspect of the role, fostering innovation and continuous improvement in AI-driven products.
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 deployment and maintenance.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms and AI service integration.
- Strong understanding of model deployment, monitoring, and lifecycle management.
- Familiarity with containerization and orchestration tools for scalable AI solutions.
- Ability to troubleshoot and optimize AI pipelines for performance and reliability.
Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning Operations.
- This position is based at our Pune 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.