AI / ML Engineer
Accenture
- Location
- Onsite (Navi Mumbai, Maharashtra)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
Accenture is a global professional services leader helping organizations build their digital core and leverage AI to create value. This role involves developing production-ready AI applications and systems using cloud services and generative models.
Skills
Machine Learning Operations
Python
LLM Pipelines
Generative AI
Deep Learning
Neural Networks
Chatbots
Image Processing
Cloud AI Services
Multi Cloud
Machine Learning Frameworks
Observability Tools
RAG
CI/CD Pipelines
Data Governance
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 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.