AI / ML Engineer
Accenture · Bengaluru · onsite · Posted 50d ago
Undisclosed3–8 yrsfulltimeSourced from
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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 : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning 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 are ready for production environments. The work often includes applying generative AI models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of the daily routine.
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 enhance project outcomes and share knowledge.
- Assist in documenting technical processes and best practices to support team learning.
- Support junior colleagues by providing guidance and sharing expertise.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong understanding of various machine learning algorithms and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premises environments.
- Familiarity with generative AI models and their integration into production systems.
- Ability to work with deep learning frameworks and neural network architectures.
- Knowledge of data preprocessing techniques and handling large datasets efficiently.
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our BDC7C - SEZ location.
- A 15 years full time education is required.
Qualification
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 : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning 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 are ready for production environments. The work often includes applying generative AI models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of the daily routine.
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 enhance project outcomes and share knowledge.
- Assist in documenting technical processes and best practices to support team learning.
- Support junior colleagues by providing guidance and sharing expertise.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong understanding of various machine learning algorithms and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premises environments.
- Familiarity with generative AI models and their integration into production systems.
- Ability to work with deep learning frameworks and neural network architectures.
- Knowledge of data preprocessing techniques and handling large datasets efficiently.
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our BDC7C - SEZ location.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
Image Analysisml engineerimage processingneural networkscloud aiai servicesai modelsdata preprocessingdeploymentcloudAI ToolsAlgorithmsDeep LearningGenerative AiArtificial IntelligenceMachine Learning
About Accenture

Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
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