AI / ML Engineer
Accenture
- Location
- Onsite (Gurugram, Haryana)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 day ago
About the role
Accenture is seeking an AI/ML Engineer to lead the design and deployment of production-ready generative AI and machine learning solutions. The role involves collaborating with cross-functional teams to build scalable, cloud-based AI systems that drive business value.
Skills
Machine Learning
Natural Language Processing
Azure OpenAI Service
Python Frameworks
Generative AI
Deep Learning
Neural Networks
Cloud AI Services
AI Pipeline Development
Model Deployment
Chatbot Development
Image Processing
Cloud Computing
Team Leadership
Stakeholder Coordination
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 : Machine Learning (ML), Natural Language Processing (NLP), Azure OpenAI Service, Python Frameworks, GENERATIVE AI
Good to have skills : NA
Minimum 5 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 tools and cloud-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with business needs is a key aspect of the daily workflow, fostering innovation and continuous improvement in AI-driven products.
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 design and implementation of AI and machine learning solutions that meet project requirements and quality standards.
- Mentor junior team members by sharing knowledge and guiding their technical growth.
- Coordinate with stakeholders to understand project goals and translate them into actionable technical plans.
- Continuously evaluate emerging AI technologies and recommend their adoption to enhance project outcomes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Natural Language Processing (NLP), Azure OpenAI Service, Python Frameworks, GENERATIVE AI.
- Strong experience in developing and deploying machine learning models in cloud environments.
- In-depth understanding of generative artificial intelligence techniques and their practical applications.
- Ability to work with various AI architectures including deep learning and neural networks.
- Experience in building scalable AI pipelines and integrating AI services into production systems.
- Familiarity with chatbot development and image processing methodologies.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Gurugram 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), Natural Language Processing (NLP), Azure OpenAI Service, Python Frameworks, GENERATIVE AI
Good to have skills : NA
Minimum 5 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 tools and cloud-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with business needs is a key aspect of the daily workflow, fostering innovation and continuous improvement in AI-driven products.
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 design and implementation of AI and machine learning solutions that meet project requirements and quality standards.
- Mentor junior team members by sharing knowledge and guiding their technical growth.
- Coordinate with stakeholders to understand project goals and translate them into actionable technical plans.
- Continuously evaluate emerging AI technologies and recommend their adoption to enhance project outcomes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Natural Language Processing (NLP), Azure OpenAI Service, Python Frameworks, GENERATIVE AI.
- Strong experience in developing and deploying machine learning models in cloud environments.
- In-depth understanding of generative artificial intelligence techniques and their practical applications.
- Ability to work with various AI architectures including deep learning and neural networks.
- Experience in building scalable AI pipelines and integrating AI services into production systems.
- Familiarity with chatbot development and image processing methodologies.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Gurugram 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.