Resume and JobRESUME AND JOB
Accenture logo

AI / ML Engineer

Accenture

AI / ML Engineer

Accenture logo

Accenture

full-time

Posted: December 3, 2025

Number of Vacancies: 1

Job Description

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 : 15 years full time education

Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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. - Facilitate knowledge sharing and mentorship within the team to foster professional growth. - Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with programming languages such as Python or R for model development. - Knowledge of data preprocessing techniques and data pipeline construction. Additional Information: - The candidate should have minimum 12 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Locations

  • Gurugram, India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Natural Language Processing (NLP)intermediate
  • Proficiency in Machine Learningintermediate
  • Strong understanding of various machine learning algorithms and their applicationsintermediate
  • Experience with cloud-based AI services and deployment strategiesintermediate
  • Familiarity with programming languages such as Python or R for model developmentintermediate
  • Knowledge of data preprocessing techniques and data pipeline constructionintermediate

Required Qualifications

  • Minimum 12 years of experience in Machine Learning (experience)
  • 15 years full time education (experience)

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
  • Facilitate knowledge sharing and mentorship within the team to foster professional growth
  • Continuously evaluate and improve existing processes and systems to enhance performance and reliability

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Accenture logo

AI / ML Engineer

Accenture

AI / ML Engineer

Accenture logo

Accenture

full-time

Posted: December 3, 2025

Number of Vacancies: 1

Job Description

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 : 15 years full time education

Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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. - Facilitate knowledge sharing and mentorship within the team to foster professional growth. - Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with programming languages such as Python or R for model development. - Knowledge of data preprocessing techniques and data pipeline construction. Additional Information: - The candidate should have minimum 12 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Locations

  • Gurugram, India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Natural Language Processing (NLP)intermediate
  • Proficiency in Machine Learningintermediate
  • Strong understanding of various machine learning algorithms and their applicationsintermediate
  • Experience with cloud-based AI services and deployment strategiesintermediate
  • Familiarity with programming languages such as Python or R for model developmentintermediate
  • Knowledge of data preprocessing techniques and data pipeline constructionintermediate

Required Qualifications

  • Minimum 12 years of experience in Machine Learning (experience)
  • 15 years full time education (experience)

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
  • Facilitate knowledge sharing and mentorship within the team to foster professional growth
  • Continuously evaluate and improve existing processes and systems to enhance performance and reliability

Target Your Resume for "AI / ML Engineer" , Accenture

Get personalized recommendations to optimize your resume specifically for AI / ML Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI / ML Engineer" , Accenture

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AI & DataTechnology

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No related jobs found at the moment.