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AI / ML Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and build AI applications and systems using cloud AI services
Manage end-to-end application pipelines to production-ready quality
Integrate generative AI models into projects
Lead the design and implementation of AI solutions to project standards
Mentor team members and share knowledge within the team
From the employer’s posting
Develops applications and systems that utilize AI tools, Cloud AI services
managing end-to-end application pipelines, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable
The engineer integrates generative AI models into various projects
Lead the design and implementation of AI solutions that meet project requirements and quality standards
Facilitate knowledge sharing and mentorship within the team to foster professional growth
What you’ll bring
All qualificationsCore experience
- 5+ years of experience required
- Python frameworks proficiency
- Prompt engineering skills
- Machine learning operations (MLOps) experience
- Google Cloud Vertex AI model development
Preferred experience
- Experience with GitHub Copilot for code generation
- AWS SageMaker experience
Qualification wording
Minimum 5 year(s) of experience is required
Proficiency in Python Frameworks
Prompt Engineering
Machine Learning Operations
Google Cloud Vertex AI Model Development
have complete knowledge of development using GitHub Copilot
platforms like AWS SageMaker or Google Cloud Vertex AI
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Accenture is hiring
202 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down quickly
- 11% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- SageMaker
- GCP
Where the posting names them
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 : Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development 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 end-to-end application pipelines, whether deployed on cloud platforms or on-premises, 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 processing techniques. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven functionalities.
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 solutions that meet project requirements and quality standards. - Facilitate knowledge sharing and mentorship within the team to foster professional growth. - Coordinate with stakeholders to ensure alignment of AI initiatives with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development. - have complete knowledge of development using GitHub Copilot should focus on mastering prompt engineering for code generation and refinement. This involves crafting precise, unambiguous instructions to get the best possible output from AI assistants like GitHub Copilot. - Specializing in AI model deployment and MLOps using platforms like AWS SageMaker or Google Cloud Vertex AI offers significant career growth opportunities. - Continuous learning in areas like data science, machine learning algorithms, and responsible AI practices is essential for sustained relevance and career advancement in technology. - Strong experience in developing and deploying machine learning models using cloud platforms. - In-depth understanding of AI model lifecycle management and operationalization. - Familiarity with generative AI techniques and their practical applications. - Ability to optimize AI workflows for performance and scalability. - Experience with integrating AI models into production-grade software systems. Additional Information: - The candidate should have minimum 5 years of experience in Python Frameworks. - This position is based at our Pune office. - A 15 years full time education is required.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development. - have complete knowledge of development using GitHub Copilot should focus on mastering prompt engineering for code generation and refinement. This involves crafting precise, unambiguous instructions to get the best possible output from AI assistants like GitHub Copilot. - Specializing in AI model deployment and MLOps using platforms like AWS SageMaker or Google Cloud Vertex AI offers significant career growth opportunities. - Continuous learning in areas like data science, machine learning algorithms, and responsible AI practices is essential for sustained relevance and career advancement in technology. - Strong experience in developing and deploying machine learning models using cloud platforms. - In-depth understanding of AI model lifecycle management and operationalization. - Familiarity with generative AI techniques and their practical applications. - Ability to optimize AI workflows for performance and scalability. - Experience with integrating AI models into production-grade software systems. Additional Information: - The candidate should have minimum 5 years of experience in Python Frameworks. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education
Your next step
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Already applied? Track this application
Has Accenture posted this job before?
Yes. We’ve followed 24 other AI / ML Engineer jobs there since November 2026. 4 came down, usually after about 0 days. 20 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 : Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development
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 end-to-end application pipelines, whether deployed on cloud platforms or on-premises, 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 processing techniques. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven functionalities.
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 solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate with stakeholders to ensure alignment of AI initiatives with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development.
- have complete knowledge of development using GitHub Copilot should focus on mastering prompt engineering for code generation and refinement. This involves crafting precise, unambiguous instructions to get the best possible output from AI assistants like GitHub Copilot.
- Specializing in AI model deployment and MLOps using platforms like AWS SageMaker or Google Cloud Vertex AI offers significant career growth opportunities.
- Continuous learning in areas like data science, machine learning algorithms, and responsible AI practices is essential for sustained relevance and career advancement in technology.
- Strong experience in developing and deploying machine learning models using cloud platforms.
- In-depth understanding of AI model lifecycle management and operationalization.
- Familiarity with generative AI techniques and their practical applications.
- Ability to optimize AI workflows for performance and scalability.
- Experience with integrating AI models into production-grade software systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Python Frameworks.
- This position is based at our Pune 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 : Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development
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 end-to-end application pipelines, whether deployed on cloud platforms or on-premises, 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 processing techniques. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven functionalities.
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 solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate with stakeholders to ensure alignment of AI initiatives with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python Frameworks, Prompt Engineering, Machine Learning Operations, Google Cloud Vertex AI Model Development.
- have complete knowledge of development using GitHub Copilot should focus on mastering prompt engineering for code generation and refinement. This involves crafting precise, unambiguous instructions to get the best possible output from AI assistants like GitHub Copilot.
- Specializing in AI model deployment and MLOps using platforms like AWS SageMaker or Google Cloud Vertex AI offers significant career growth opportunities.
- Continuous learning in areas like data science, machine learning algorithms, and responsible AI practices is essential for sustained relevance and career advancement in technology.
- Strong experience in developing and deploying machine learning models using cloud platforms.
- In-depth understanding of AI model lifecycle management and operationalization.
- Familiarity with generative AI techniques and their practical applications.
- Ability to optimize AI workflows for performance and scalability.
- Experience with integrating AI models into production-grade software systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Python Frameworks.
- This position is based at our Pune 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.
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