AI / ML Engineer
Accenture
- Location
- Onsite (Gurugram, Haryana)
- Employment
- Full-time
- Level
- Senior Level
Posted 4 days ago
About the role
Accenture seeks an AI/ML Engineer to design and build advanced, production-ready AI applications and systems. The role involves integrating generative AI and deep learning technologies while providing technical leadership and mentoring to junior staff.
Skills
Natural Language Processing
Artificial Intelligence
Machine Learning
Generative AI
Deep Learning
Neural Networks
Python
Java
Cloud Computing
Data Science
Chatbots
Image Processing
Application Pipelines
Mentoring
Advisory Skills
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 : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 15 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, which may include deep learning architectures, neural networks, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in AI-driven solutions.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- 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 evaluation and integration of emerging AI technologies to enhance project outcomes.
- Mentor and guide junior team members to support their professional growth and project contributions.
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 programming skills in languages commonly used for AI development such as Python or Java.
- Familiarity with cloud platforms and services that support AI workloads and deployment pipelines.
- Ability to optimize AI models for performance and scalability in production environments.
Additional Information:
- The candidate should have minimum 15 years of experience in Natural Language Processing (NLP).
- This position is based at our Bengaluru 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 15 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, which may include deep learning architectures, neural networks, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in AI-driven solutions.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- 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 evaluation and integration of emerging AI technologies to enhance project outcomes.
- Mentor and guide junior team members to support their professional growth and project contributions.
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 programming skills in languages commonly used for AI development such as Python or Java.
- Familiarity with cloud platforms and services that support AI workloads and deployment pipelines.
- Ability to optimize AI models for performance and scalability in production environments.
Additional Information:
- The candidate should have minimum 15 years of experience in Natural Language Processing (NLP).
- This position is based at our Bengaluru 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.