Accenture·IT Services·2 hours ago
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AI / ML Engineer
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About this role
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 : Generative AI
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 AI 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 into projects, working with deep learning frameworks, developing neural network architectures, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models to enhance performance are also key aspects of the role.
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 stakeholders to understand requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems for improved efficiency and accuracy.
- Document processes and maintain clear communication regarding project progress and challenges.
- Support junior team members by sharing knowledge and assisting in problem-solving.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Good To Have Skills: Experience with Generative AI.
- Strong understanding of various machine learning algorithms and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premise environments.
- Familiarity with deep learning techniques, neural networks, and natural language processing.
- Ability to work with large datasets and perform data preprocessing and feature engineering.
Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- 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 : Machine Learning (ML)
Good to have skills : Generative AI
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 AI 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 into projects, working with deep learning frameworks, developing neural network architectures, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models to enhance performance are also key aspects of the role.
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 stakeholders to understand requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems for improved efficiency and accuracy.
- Document processes and maintain clear communication regarding project progress and challenges.
- Support junior team members by sharing knowledge and assisting in problem-solving.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Good To Have Skills: Experience with Generative AI.
- Strong understanding of various machine learning algorithms and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premise environments.
- Familiarity with deep learning techniques, neural networks, and natural language processing.
- Ability to work with large datasets and perform data preprocessing and feature engineering.
Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- 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.
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AccentureIT Services
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