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Ind & Func Decision Science Specialist @ Accenture

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 Ind & Func Decision Science Specialist

Job Description

Job Title: Ind & Func Decision Science Specialist(Prompt Engineer)Location: Bangalore (BDC7C)Experience Level: 2+ YearsAbout the RoleThe Prompt Engineer will assist in developing and scaling Text2SQL frameworks and optimizing Retrieval-Augmented Generation (RAG) solutions for enterprise applications. This role involves designing prompts for large language models (LLMs), building AI agents, and supporting the creation of Q&A systems and chatbots. Collaboration with team members and maintaining documentation of development processes are essential components of this position.Key Responsibilities
  • Assist in Framework Development:Support the creation and scaling of Text2SQL frameworks for enterprise applications.
  • Implement RAG Solutions:Help optimize Retrieval-Augmented Generation (RAG) frameworks to enhance accuracy and performance.
  • Prompt Design:Contribute to designing prompts for large language models (LLMs) to achieve desired outputs.
  • Build AI Agents:Assist in the development and deployment of AI agents using llama index and langchain frameworks.
  • Support Q&A Systems:Help develop conversational chatbots and Q&A systems for various datasets, both structured and unstructured.
  • Documentation:Maintain documentation of development processes and assist in ensuring best practices are followed.
  • Required
    Qualifications

  • Education:Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience:2+ years of experience in developing AI/ML solutions, with a focus on LLMs preferred.
  • Technical Skills:Basic understanding of Retrieval-Augmented Generation (RAG) concepts and familiarity with Text2SQL frameworks.
  • Problem-Solving Abilities:Strong analytical skills with attention to detail.
  • Communication Skills:Good communication skills to collaborate effectively within a team.
  • Preferred Skills
  • Familiarity with natural language processing (NLP) techniques and libraries, such as transformers and embeddings.
  • Understanding of cloud platforms (AWS, Azure, GCP) for deploying AI/ML models.
  • Basic knowledge of MLOps practices and tools.
  • Proficiency in Python or other relevant programming languages is a plus.
  • Experience with API development and integration is advantageous.

  • Qualifications
    Required
    Qualifications

  • Education:Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience:2+ years of experience in developing AI/ML solutions, with a focus on LLMs preferred.
  • Technical Skills:Basic understanding of Retrieval-Augmented Generation (RAG) concepts and familiarity with Text2SQL frameworks.
  • Problem-Solving Abilities:Strong analytical skills with attention to detail.
  • Communication Skills:Good communication skills to collaborate effectively within a team.
  • Preferred Skills
  • Familiarity with natural language processing (NLP) techniques and libraries, such as transformers and embeddings.
  • Understanding of cloud platforms (AWS, Azure, GCP) for deploying AI/ML models.
  • Basic knowledge of MLOps practices and tools.
  • Proficiency in Python or other relevant programming languages is a plus.
  • Experience with API development and integration is advantageous.
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA,
    Role Category: Software Development
    Role: Technical Lead
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Bengaluru

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    Keyskills:   ML solutions python Azure natural language processing GCP AWS artificial intelligence

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    Accenture

    Accenture (NYSE: ACN) is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions unde...