AI / ML Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 day ago
About the Role
Accenture is a global professional services firm helping organizations build their digital core and leverage AI to create value. This role involves designing and building advanced AI applications, integrating generative models into production pipelines, and leading technical initiatives.
Skills
Machine Learning
Python
Large Language Models
AWS AI Services
Deep Learning
Neural Networks
Chatbots
Image Processing
Fine-tuning
MLOps
CI/CD
GPU Instances
Canary Deployments
Hugging Face
Model Quantization
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 (ML)
Good to have skills : Python (Programming Language), Large Language Models (LLMs), AWS AI Services
Minimum 7.5 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 technologies and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working on deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality pipelines for AI solutions are also key aspects of the role.
Roles & Responsibilities:
Training data pipeline: format conversion, deduplication, quality filtering
Supervised fine-tuning (SFT) with progressive model scaling
Offline evaluation framework design
Shadow-mode and staged A/B rollout with automated rollback
- 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 and machine learning models to meet project requirements.
- Mentor junior team members and support their professional growth within the AI and machine learning domain.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Large Language Models (LLMs), Python (Programming Language), AWS AI Services.
- Experience with Large Language Models (LLMs), Python (Programming Language), AWS AI Services.
5+ years hands-on LLM fine-tuning (SFT/DPO)
ML serving infrastructure on AWS GPU instances
Production monitoring with canary deployments
Python, Hugging Face ecosystem, model quantization, end-to-end MLOps CI/CD
- Strong knowledge of deep learning techniques including neural networks and their practical applications.
- Experience in developing and deploying AI models in cloud environments and on-premises infrastructure.
- Familiarity with generative AI models and their integration into production systems.
- Ability to optimize machine learning pipelines for scalability and performance.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- 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 (ML)
Good to have skills : Python (Programming Language), Large Language Models (LLMs), AWS AI Services
Minimum 7.5 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 technologies and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working on deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality pipelines for AI solutions are also key aspects of the role.
Roles & Responsibilities:
Training data pipeline: format conversion, deduplication, quality filtering
Supervised fine-tuning (SFT) with progressive model scaling
Offline evaluation framework design
Shadow-mode and staged A/B rollout with automated rollback
- 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 and machine learning models to meet project requirements.
- Mentor junior team members and support their professional growth within the AI and machine learning domain.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Large Language Models (LLMs), Python (Programming Language), AWS AI Services.
- Experience with Large Language Models (LLMs), Python (Programming Language), AWS AI Services.
5+ years hands-on LLM fine-tuning (SFT/DPO)
ML serving infrastructure on AWS GPU instances
Production monitoring with canary deployments
Python, Hugging Face ecosystem, model quantization, end-to-end MLOps CI/CD
- Strong knowledge of deep learning techniques including neural networks and their practical applications.
- Experience in developing and deploying AI models in cloud environments and on-premises infrastructure.
- Familiarity with generative AI models and their integration into production systems.
- Ability to optimize machine learning pipelines for scalability and performance.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- 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.