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    Job · 19226280

    CHENNAI · FULLTIME

    Data Scientist

    Synergy Group logo

    Synergy Group

    Chennai · onsite · Posted 26d ago

    Sourced fromNaukri
    Undisclosed8–13 yrsfulltimeChennai

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    Section · 01

    About this role

    Job Description Data Scientist | GenAI & Agentic AI
    Position: Data Scientist
    Experience: 48 Years
    Location: Chennai
    Work Mode: Work from Office

    Job Summary
    We are looking for a skilled Data Scientist with a strong foundation in Machine Learning, Statistical Analysis, and Data-Driven Problem Solving, along with hands-on experience in Generative AI and Agentic AI development.

    The ideal candidate will have experience building and deploying LLM-powered applications and should be comfortable working with Prompt Engineering, Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases, Tool/Function Calling, and Multi-Agent/Agentic Workflows.

    This role requires someone who can combine strong traditional Data Science expertise with modern GenAI capabilities to design, develop, evaluate, and deploy AI solutions from experimentation through production.

    Key Responsibilities
    Develop and implement machine learning and statistical models to solve business problems.
    Design and build Generative AI applications using Large Language Models (LLMs).
    Develop RAG-based solutions using embeddings, vector databases, document retrieval, and contextual generation.
    Implement effective prompt engineering strategies for LLM-based applications.
    Build AI agents and multi-step agentic workflows using tool/function calling and orchestration frameworks.
    Integrate LLM applications with enterprise data sources, APIs, databases, and existing business applications.
    Design and implement scalable AI/ML solutions suitable for production environments.
    Develop evaluation frameworks to assess LLM accuracy, relevance, reliability, latency, and overall application performance.
    Implement appropriate AI guardrails, validation mechanisms, and responsible AI practices.
    Perform data analysis, feature engineering, model development, validation, and optimization.
    Collaborate with engineering, product, and business teams to translate requirements into data and AI solutions.
    Troubleshoot and optimize AI/ML applications for performance, scalability, cost, and reliability.
    Contribute to the deployment, monitoring, and continuous improvement of AI solutions in production.

    Required Skills
    Data Science & Machine Learning
    Strong understanding of Machine Learning concepts and algorithms.
    Strong foundation in Statistics, Probability, Data Analysis, and Predictive Modeling.
    Hands-on experience with Python and relevant Data Science/ML libraries.
    Experience with data preprocessing, feature engineering, model evaluation, and optimization.
    Good understanding of supervised and unsupervised learning techniques.

    Generative AI & LLM
    Hands-on experience working with Generative AI and Large Language Models (LLMs).
    Strong understanding of Prompt Engineering and LLM application development.
    Practical experience with RAG (Retrieval-Augmented Generation).
    Experience with Embeddings and Vector Databases.
    Experience implementing Tool/Function Calling.
    Understanding of LLM evaluation, hallucination mitigation, guardrails, and response validation.

    Agentic AI
    Experience designing and developing AI agents and agentic workflows.
    Understanding of multi-step reasoning and workflow orchestration.
    Experience integrating agents with APIs, enterprise systems, databases, and external tools.
    Familiarity with agent orchestration frameworks is an advantage.
    Deployment & Integration
    Experience taking AI/ML solutions from prototype to production.
    Understanding of APIs, microservices, cloud platforms, and application integration.
    Knowledge of MLOps/LLMOps, monitoring, scalability, and production deployment is preferred.
    Experience working with enterprise data sources and integrating AI solutions into existing applications.

    Preferred Qualifications
    Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
    48 years of relevant experience in Data Science, Machine Learning, AI, or related areas.
    Experience working on end-to-end AI/ML projects.
    Exposure to cloud platforms such as AWS, Azure, or GCP.
    Familiarity with modern GenAI/LLM frameworks and AI development tools.
    Strong analytical, problem-solving, communication, and collaboration skills.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    ai developmentcloud platformsapisApplication integrationamazon web servicesdata scientistdata preprocessingAi Development ToolsEmbeddingsdeploymentcloudAlgorithmsdata analysisApplication DevelopmentAi SolutionsMicrosoft AzureData ScienceArtificial Intelligence

    Section · Company

    About Synergy Group

    Synergy Group logo

    Synergy Group

    Engineering & Construction

    11-50

    employees

    Vadodara

    India

    ₹7.1L PA avg

    Avg at Synergy Group

    About

    Synergy Group delivers heavy engineering solutions and automation services, optimizing processes in industries such as cement, steel, and mining.

    Industries

    Advertising / PR / Events

    Employee ratings

    10 reviews

    4.1/ 5

    Culture

    3.6

    Career growth

    3.3

    Work-life

    3.2

    Employees rate it well for

    Overall Company41Company Culture38

    Find them on

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