Develops production-ready AI and machine learning applications using cloud or on-premises pipelines. Applies NLP, generative AI, deep learning, neural networks, chatbots, and image processing to business solutions. Responsibilities include model deployment, performance monitoring, optimization, technical documentation, cross-functional collaboration, and mentoring junior team members. The role requires independent execution, subject matter expertise, and at least three years of NLP experience.
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 : Natural Language Processing (NLP)
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. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer actively works on incorporating generative AI models into projects, while also exploring areas such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities, fostering innovation and efficiency in the development lifecycle.
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 identify opportunities for AI integration and optimization.
- 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 evaluate AI system performance to ensure reliability and scalability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Natural Language Processing (NLP).
- Experience with various NLP techniques such as text classification, entity recognition, and sentiment analysis.
- Familiarity with machine learning frameworks and libraries relevant to NLP tasks.
- Ability to preprocess and analyze large datasets to extract meaningful insights.
- Knowledge of deploying AI models in cloud environments or on-premises infrastructure.
- Strong problem-solving skills with a focus on optimizing AI model performance.
Additional Information:
- The candidate should have minimum 3 years of experience in Natural Language Processing (NLP).
- This position is based at our Chennai 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 : Natural Language Processing (NLP)
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. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer actively works on incorporating generative AI models into projects, while also exploring areas such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities, fostering innovation and efficiency in the development lifecycle.
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 identify opportunities for AI integration and optimization.
- 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 evaluate AI system performance to ensure reliability and scalability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Natural Language Processing (NLP).
- Experience with various NLP techniques such as text classification, entity recognition, and sentiment analysis.
- Familiarity with machine learning frameworks and libraries relevant to NLP tasks.
- Ability to preprocess and analyze large datasets to extract meaningful insights.
- Knowledge of deploying AI models in cloud environments or on-premises infrastructure.
- Strong problem-solving skills with a focus on optimizing AI model performance.
Additional Information:
- The candidate should have minimum 3 years of experience in Natural Language Processing (NLP).
- This position is based at our Chennai 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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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