The Role
Develop production-ready AI and machine learning applications using cloud AI services and generative AI. Responsibilities include building and maintaining LLM pipelines, supporting training and deployment, implementing observability, managing prompts and RAG workflows, automating validation and CI/CD, and ensuring security, compliance, and ethical model use. The role also requires optimizing machine learning models, collaborating across teams, monitoring project progress, and sharing technical knowledge.
Summary Generated by Built In
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 Operations
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, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance.
Roles & Responsibilities:
- Continuously evaluate and improve existing processes to enhance efficiency.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team skills and capabilities.
- Monitor project progress and ensure alignment with strategic goals.
Professional & Technical Skills:
- Strong Engineering experience with advance python skills.
- Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.
- Work on operationalize LLMs, from experimentation to deployment in production environments.
- Implement and monitor observability tools for LLM applications (latency, throughput, prompt performance, hallucinations, drift, etc.).
- Manage prompt management and versioning systems, as well as fine-tuning and retrieval-augmented generation (RAG) workflows.
- Automate model validation, testing, and CI/CD pipelines to support safe and efficient LLM deployment.
- Ensure security, compliance, and ethical use of LLMs in production environments (e.g., data governance, bias detection).
- Stay updated with advances in LLM infrastructure, serving frameworks, and tooling ecosystems.
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Good exposure of cloud based services including AI services.
- Must have thorough understanding of infrastructure need for LLMOps implementation.
- Must have python skills.
- Should have Multi Cloud skills
- Experience with Machine learning frameworks
- Ability to implement and optimize machine learning models for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our Bengaluru 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 Operations
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, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance.
Roles & Responsibilities:
- Continuously evaluate and improve existing processes to enhance efficiency.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team skills and capabilities.
- Monitor project progress and ensure alignment with strategic goals.
Professional & Technical Skills:
- Strong Engineering experience with advance python skills.
- Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.
- Work on operationalize LLMs, from experimentation to deployment in production environments.
- Implement and monitor observability tools for LLM applications (latency, throughput, prompt performance, hallucinations, drift, etc.).
- Manage prompt management and versioning systems, as well as fine-tuning and retrieval-augmented generation (RAG) workflows.
- Automate model validation, testing, and CI/CD pipelines to support safe and efficient LLM deployment.
- Ensure security, compliance, and ethical use of LLMs in production environments (e.g., data governance, bias detection).
- Stay updated with advances in LLM infrastructure, serving frameworks, and tooling ecosystems.
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Good exposure of cloud based services including AI services.
- Must have thorough understanding of infrastructure need for LLMOps implementation.
- Must have python skills.
- Should have Multi Cloud skills
- Experience with Machine learning frameworks
- Ability to implement and optimize machine learning models for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our Bengaluru 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.
Skills Required
- Minimum 5 years of experience in Machine Learning Operations
- 15 years of full-time education
- Advanced Python skills
- Experience developing and deploying production-ready AI and machine learning applications
- Proficiency in Machine Learning Operations
- Experience with cloud-based AI services
- Thorough understanding of infrastructure requirements for LLMOps implementation
- Multi-cloud skills
- Experience with machine learning frameworks
- Ability to implement and optimize machine learning models for production environments
- Experience building LLM training, fine-tuning, evaluation, and deployment pipelines
- Experience with LLM observability, prompt management, versioning, fine-tuning, or RAG workflows
- Experience automating model validation, testing, and CI/CD pipelines
- Understanding of security, compliance, data governance, bias detection, and ethical LLM use
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
-
Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
-
Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
-
Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
