Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Specialist Qualifications:Any Graduation Years of Experience:5 – 7 years Language - Ability:English(International) - Intermediate About Accenture 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, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 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 What would you do?

As a part of the Knowledge-AI team, you will lead the development and deployment of AI-based assets using the latest technologies and advanced AI techniques. You will be responsible for building scalable, production-ready AI solutions using Machine Learning, Deep Learning, NLP, and Generative AI (GenAI) approaches. You will apply your expertise to understand complex business processes and design AI-driven solutions that reduce turnaround time and improve efficiency.

You will collaborate with business experts, researchers,



and platform engineers to deliver enterprise-grade AI solutions that align with Accenture’s core principles and deliver measurable outcomes. You will also contribute to innovation through patents, reusable assets, and enhancements to existing solutions. ________________________________________ What are we looking for? Strong programming skills in Python and familiarity with libraries such as NumPy, pandas, scikit-learn, Matplotlib, and Seaborn

Experience with Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras)

Hands-on experience with Natural Language Processing (NLP) and Large Language Models (LLMs)

Exposure to Generative AI, Prompt Engineering, and orchestration frameworks (e.g., LangChain, LlamaIndex)

Experience with deploying AI models using FastAPI, Flask, or gRPC

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

Experience with cloud platforms (AWS, Azure, GCP) and services like SageMaker, Vertex AI, Azure ML

Understanding of MLOps tools and practices (e.g., MLflow, DVC, Kubeflow, CI/CD pipelines)

Ability to perform under pressure and manage multiple stakeholders

Strong business acumen and ability to translate business challenges into AI solutions





Excellent collaboration and communication skills across cross-functional teams ________________________________________

Designing scalable and modular AI architectures

Implementing CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or Azure DevOps

Working with vector databases (e.g., Pinecone, FAISS) for semantic search and RAG pipelines

Applying model optimization techniques (e.g., ONNX, TensorRT, quantization, distillation)

Implementing observability and monitoring using Prometheus, Grafana, Arize AI, or WhyLabs

Understanding of responsible AI practices (e.g., fairness, explainability, bias detection)

Agile methodologies and sprint planning

Good understanding of SQL and NoSQL databases Roles and Responsibilities:

Design, develop, and deploy AI-based solutions across multiple domains

Provide technical leadership and mentorship to junior team members

Industrialize and commercialize AI products and solutions

Analyze complex business processes and propose AI-based optimizations

Manage cross-functional stakeholders and ensure alignment with business goals

Drive innovation and contribute to patents and reusable assets

Lead product/solution development and collaborate with clients to deliver value

Operate in an Agile development workplace and proactively manage risks and blockers

Ensure adherence to quality control best practices including unit, integration, UAT, and performance testing

Maintain comprehensive documentation and deliver compelling storytelling and presentations to stakeholders

📌 AI/ML Computational Science Specialist (Bengaluru)
🏢 Accenture in India
📍 Bengaluru