AI / ML Engineer
Accenture
- Location
- Onsite (pune, Maharashtra)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week 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 and deploying production-ready AI applications and pipelines using cloud services and generative models.
Skills
Natural Language Processing
Machine Learning
Deep Learning
Generative AI
TensorFlow
PyTorch
Cloud Computing
AWS
Azure
Google Cloud
Data Preprocessing
API Design
Neural Networks
Chatbots
Image Processing
Feature Engineering
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 : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 7.5 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 pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies, including deep learning and neural networks. You will also have the opportunity to work on innovative projects that may involve chatbots and image processing, contributing to the advancement of AI technologies within the organization.
Roles & Responsibilities:
AI Model Development & Fine-Tuning
- Train, fine-tune, and adapt machine learning and deep learning models tailored to specific business use cases.
Data Management & Preparation
- Collect, clean, and preprocess both structured and unstructured data.
- Conduct feature engineering, normalization, and anomaly detection to enhance data quality.
Model Deployment & Productionization
- Package and deploy AI models to production environments using containerization and model serving frameworks.
- Monitor deployed AI systems for performance, reliability, and scalability.
Intelligent System Automation
- Automate business processes through AI-driven systems (e.g., predictive analytics, NLP-based chatbots, computer vision applications).
Agentic System Simulation & Optimization
- Test, simulate, and optimize entire agentic systems to ensure comprehensive performance and reliability.
Collaboration & Continuous Learning
- Engage cross-functionally with engineers, product teams, and stakeholders to align AI initiatives with business goals.
- 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.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and ensure alignment with strategic goals.
Professional & Technical Skills:
- Must Have Skills: Proficiency in Natural Language Processing (NLP).
- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Familiarity with data preprocessing techniques and tools for text data.
- Ability to design and implement APIs for AI applications.
Additional Information:
- The candidate should have minimum 5 years of experience in Natural Language Processing (NLP).
- 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 : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 7.5 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 pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies, including deep learning and neural networks. You will also have the opportunity to work on innovative projects that may involve chatbots and image processing, contributing to the advancement of AI technologies within the organization.
Roles & Responsibilities:
AI Model Development & Fine-Tuning
- Train, fine-tune, and adapt machine learning and deep learning models tailored to specific business use cases.
Data Management & Preparation
- Collect, clean, and preprocess both structured and unstructured data.
- Conduct feature engineering, normalization, and anomaly detection to enhance data quality.
Model Deployment & Productionization
- Package and deploy AI models to production environments using containerization and model serving frameworks.
- Monitor deployed AI systems for performance, reliability, and scalability.
Intelligent System Automation
- Automate business processes through AI-driven systems (e.g., predictive analytics, NLP-based chatbots, computer vision applications).
Agentic System Simulation & Optimization
- Test, simulate, and optimize entire agentic systems to ensure comprehensive performance and reliability.
Collaboration & Continuous Learning
- Engage cross-functionally with engineers, product teams, and stakeholders to align AI initiatives with business goals.
- 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.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and ensure alignment with strategic goals.
Professional & Technical Skills:
- Must Have Skills: Proficiency in Natural Language Processing (NLP).
- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Familiarity with data preprocessing techniques and tools for text data.
- Ability to design and implement APIs for AI applications.
Additional Information:
- The candidate should have minimum 5 years of experience in Natural Language Processing (NLP).
- 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.