AI / ML Engineer
Accenture
- Location
- Onsite (Mumbai City, Maharashtra)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the role
Accenture is seeking an AI/ML Engineer to lead the design, development, and deployment of production-ready AI applications. The role involves leveraging generative AI, deep learning, and cloud services to drive innovation and business value.
Skills
Data Science
Machine Learning
Artificial Intelligence
Generative AI
Cloud AI Services
AI Deployment Pipelines
Deep Learning
Neural Networks
Image Processing
Natural Language Processing
Model Deployment
Team Leadership
Mentoring
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 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 is a key part of daily activities, ensuring innovative and efficient AI-driven outcomes.
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 models ensuring alignment with business objectives.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to optimize AI system performance and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience in designing and implementing machine learning models and algorithms.
- Strong knowledge of cloud AI services and deployment pipelines.
- Familiarity with generative AI models and their practical applications.
- Understanding of deep learning frameworks and neural network architectures.
- Ability to work with image processing and natural language processing techniques.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Science.
- This position is based at our M2B - STPI 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 : Data Science
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 is a key part of daily activities, ensuring innovative and efficient AI-driven outcomes.
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 models ensuring alignment with business objectives.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to optimize AI system performance and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience in designing and implementing machine learning models and algorithms.
- Strong knowledge of cloud AI services and deployment pipelines.
- Familiarity with generative AI models and their practical applications.
- Understanding of deep learning frameworks and neural network architectures.
- Ability to work with image processing and natural language processing techniques.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Science.
- This position is based at our M2B - STPI 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.