AI / ML Engineer
THE WORK: Explore new horizons with enthusiasm and curiosity. You will perform independently and become a subject matter expert while actively participating and contributing in team discussions. Your contributions will help provide thoughtful solutions to work-related challenges. This opportunity invites you to engage deeply with advanced Machine Learning, fostering growth and innovation. Join us in shaping the future with your expertise and passion.
Responsibilities: Design and develop AI/ML and Generative AI solutions using Python
Build and deploy applications leveraging Large Language Models (LLMs)
Develop end-to-end pipelines including data ingestion, preprocessing, model integration, and deployment
Implement prompt engineering and fine-tuning strategies for LLMs
Integrate AI services into web/mobile/backend applications via APIs
Work with vector databases and embeddings for semantic search and RAG architectures
Optimize models and pipelines for performance, latency, and cost
Collaborate with cross-functional teams to translate business requirements into AI solutions
Ensure responsible AI practices including data privacy, bias mitigation, and explainability
Monitor and improve model performance in production environments
________________________________________
Required Skills & Qualifications
6-8 years of experience in software engineering / AI / ML, Python roles,
Strong programming expertise in Python
Hands-on experience with ML/DL frameworks like PyTorch or TensorFlow
Experience with LLM frameworks such as LangChain or LlamaIndex
Solid understanding of NLP concepts and transformer-based models
Experience with REST APIs and microservices architecture
Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)
Experience with version control systems like Git
________________________________________
Preferred Qualifications
Experience working with APIs from providers like OpenAI or open-source LLMs (Llama, Mistral)
Knowledge of Retrieval-Augmented Generation (RAG) architectures
Experience with model fine-tuning and evaluation techniques
Exposure to cloud platforms (AWS / GCP) for deployment (excluding Azure)
Understanding of containerization tools like Docker
________________________________________
Soft Skills
Strong analytical and problem-solving skills
Ability to translate complex AI concepts into practical solutions
Good communication and stakeholder management skills
Ability to work independently and in collaborative environments
________________________________________
Nice to Have
Experience with AI agents / autonomous workflows
Knowledge of MLOps practices and CI/CD for ML pipelines
Exposure to multimodal AI (text, image, audio models)
Experience with real-time AI applications (chatbots, voice bots, copilots)
About Accenture
Accenture is a leading global professional services company that helps the worldâs leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicesâcreating 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 worldâs 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.
Responsibilities: Design and develop AI/ML and Generative AI solutions using Python
Build and deploy applications leveraging Large Language Models (LLMs)
Develop end-to-end pipelines including data ingestion, preprocessing, model integration, and deployment
Implement prompt engineering and fine-tuning strategies for LLMs
Integrate AI services into web/mobile/backend applications via APIs
Work with vector databases and embeddings for semantic search and RAG architectures
Optimize models and pipelines for performance, latency, and cost
Collaborate with cross-functional teams to translate business requirements into AI solutions
Ensure responsible AI practices including data privacy, bias mitigation, and explainability
Monitor and improve model performance in production environments
________________________________________
Required Skills & Qualifications
6-8 years of experience in software engineering / AI / ML, Python roles,
Strong programming expertise in Python
Hands-on experience with ML/DL frameworks like PyTorch or TensorFlow
Experience with LLM frameworks such as LangChain or LlamaIndex
Solid understanding of NLP concepts and transformer-based models
Experience with REST APIs and microservices architecture
Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)
Experience with version control systems like Git
________________________________________
Preferred Qualifications
Experience working with APIs from providers like OpenAI or open-source LLMs (Llama, Mistral)
Knowledge of Retrieval-Augmented Generation (RAG) architectures
Experience with model fine-tuning and evaluation techniques
Exposure to cloud platforms (AWS / GCP) for deployment (excluding Azure)
Understanding of containerization tools like Docker
________________________________________
Soft Skills
Strong analytical and problem-solving skills
Ability to translate complex AI concepts into practical solutions
Good communication and stakeholder management skills
Ability to work independently and in collaborative environments
________________________________________
Nice to Have
Experience with AI agents / autonomous workflows
Knowledge of MLOps practices and CI/CD for ML pipelines
Exposure to multimodal AI (text, image, audio models)
Experience with real-time AI applications (chatbots, voice bots, copilots)
About Accenture
Accenture is a leading global professional services company that helps the worldâs leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicesâcreating 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 worldâs 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.