AI/ML Computational Science Specialist, Accenture

India, Bengaluru
July 29, 2026
Full Time

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Job Description

Accenture is looking for an AI/ML Computational Science Specialist who will work in the Knowledge-AI team to create scalable artificial intelligence solutions which can be deployed in real-world environments. The position requires the use of Machine Learning and Deep Learning and Natural Language Processing and Generative AI to develop solutions for difficult business problems. The specialist will work with teams from different departments to create intelligent systems which will improve processes and provide significant AI results for clients worldwide.

Posted On: Not Specified

Qualification: Any Graduation

Experience: 5–7 years

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Main Duties:

  • Design, develop, and deploy scalable AI-based solutions across enterprise use cases.
  • Build and optimize Machine Learning, Deep Learning, and NLP models for production environments.
  • Lead development of AI-driven systems to improve efficiency and reduce turnaround time.
  • Collaborate with business stakeholders, researchers, and engineers for solution alignment.
  • Drive innovation through reusable assets, patents, and enhancements to AI systems.

Essential Qualifications:

  • Develop your programming abilities through Python programming and the use of NumPy and pandas and scikit-learn libraries. 
  • Hands-on experience with Machine Learning and Deep Learning frameworks like TensorFlow or PyTorch. 
  • Obtained experience in Natural Language Processing and Large Language Models and Generative AI methods. 
  • Possesses expertise in implementing AI models through FastAPI and Flask and comparable deployment frameworks.
  • Deep knowledge of business processes which enables them to create AI solutions based on those processes.

Preferred Skills:

  • Experience with cloud platforms such as AWS, Azure, or GCP and their associated AI services. 
  • Demonstrate proficiency in MLOps tools which include MLflow and Kubeflow and all CI/CD pipelines. 
  • Demonstrate knowledge about containerization tools which include Docker and Kubernetes. 
  • Needs to demonstrate experience with vector databases and RAG pipelines which support advanced AI applications. 
  • Knowledge about responsible AI practices which include fairness and explainability and bias detection methods.

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