The Role
Design, develop, and deploy production-quality AI/ML applications with emphasis on NLP and generative models. Lead teams as an SME, integrate cloud AI services into scalable pipelines, mentor engineers, coordinate with stakeholders, and drive continuous improvement across AI systems including deep learning, chatbots, and image processing solutions.
Summary Generated by Built In
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 12 year(s) of experience is required
Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs
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. The engineer integrates generative AI models into various projects and explores diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align technical solutions with business goals is a key aspect, alongside continuous innovation to enhance system capabilities and performance in dynamic environments.
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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and deployment of AI-driven applications ensuring alignment with organizational objectives.
- Mentor junior team members by providing guidance and support to foster professional growth.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Drive continuous improvement initiatives to optimize AI models and system workflows.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Natural Language Processing (NLP).
- Experience with designing and implementing AI models including generative AI and deep learning techniques.
- Strong knowledge of cloud AI services and the ability to integrate them into scalable application pipelines.
- Familiarity with neural networks, chatbot frameworks, and image processing methodologies.
- Ability to develop production-quality AI solutions with robust testing and deployment strategies.
- Skilled in collaborating across teams to address complex technical challenges and deliver innovative solutions.
Additional Information:
- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).
- This position is based at our Gurugram office.
- A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs is required.
Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs
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 12 year(s) of experience is required
Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs
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. The engineer integrates generative AI models into various projects and explores diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align technical solutions with business goals is a key aspect, alongside continuous innovation to enhance system capabilities and performance in dynamic environments.
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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and deployment of AI-driven applications ensuring alignment with organizational objectives.
- Mentor junior team members by providing guidance and support to foster professional growth.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Drive continuous improvement initiatives to optimize AI models and system workflows.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Natural Language Processing (NLP).
- Experience with designing and implementing AI models including generative AI and deep learning techniques.
- Strong knowledge of cloud AI services and the ability to integrate them into scalable application pipelines.
- Familiarity with neural networks, chatbot frameworks, and image processing methodologies.
- Ability to develop production-quality AI solutions with robust testing and deployment strategies.
- Skilled in collaborating across teams to address complex technical challenges and deliver innovative solutions.
Additional Information:
- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).
- This position is based at our Gurugram office.
- A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs is required.
Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs
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.
Skills Required
- Minimum 12 years of experience in Natural Language Processing (NLP).
- Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics or Statistics from premier institutes (IITs, IISc, IIITs, ISIs).
- Proficiency in Natural Language Processing (NLP).
- Experience designing and implementing AI models including generative AI and deep learning techniques.
- Strong knowledge of cloud AI services and ability to integrate them into scalable application pipelines.
- Ability to develop production-quality AI solutions with robust testing and deployment strategies.
- Familiarity with neural networks, chatbot frameworks, and image processing methodologies.
- Proven SME/leadership experience, including mentoring junior team members and leading team decisions.
- Position is based at Gurugram office (on-site).
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
