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Accenture

Advises businesses and runs their technology

AI Decision Science Analyst - Multiple Teams

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • At least 2 years of experience in AI/ML, with demonstrated expertise in Generative AI applications and agentic systems; consulting experience is preferred.
  • A bachelor's or master's degree in Statistics, Computer Science, Mathematics, AI/ML, or a related discipline, with an excellent academic record.
  • Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, and AI Agent Orchestration frameworks.
  • Knowledge of cloud and infrastructure technologies, including AWS, Azure, or GCP; Docker; Kubernetes; Spark; and MLOps pipelines for agentic systems.
  • Specialized knowledge of Natural Language Processing, Computer Vision, Reinforcement Learning for agent training, and multimodal AI systems.
  • Deep expertise in agentic AI systems and a proven track record of building autonomous AI solutions that execute complex business workflows.
  • Strong understanding of AI safety, alignment, and governance principles for autonomous systems.
  • Experience with enterprise-grade AI agent deployments and production system management.
  • Experience developing AI/ML models.

Responsibilities

  • Design and implement sophisticated AI agents using frameworks such as AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures.
  • Develop multi-agent systems that collaborate, negotiate, and execute complex workflows autonomously.
  • Implement Model Context Protocol integrations to enable communication between AI systems and external tools and APIs.
  • Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities.
  • Develop solutions using Computer Vision, Machine Learning, and Large Language Models.
  • Define data requirements; clean, aggregate, analyze, and interpret data; and conduct data quality assessments.
  • Build and deploy AI models and Generative AI applications.
  • Train and fine-tune Large Language Models using large-scale datasets to optimize performance and accuracy.
  • Evaluate model performance and implement iterative improvements.
  • Integrate AI solutions into end-to-end workflows and ensure scalability.
  • Use cloud platforms such as AWS, Azure, or GCP for model development and deployment.
  • Stay updated on advancements in AI and Data Science and explore innovative techniques and frameworks.
  • Document methodologies and findings for knowledge sharing.

Desired Qualifications

  • Experience in a consulting environment.
  • Knowledge of AI Refinery, LangChain, LlamaIndex, AutoGen, CrewAI, Spark, AWS, Azure, GCP, Natural Language Processing, Computer Vision, vector databases, Retrieval-Augmented Generation, function calling, and tool integration.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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