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    Job · 21049703

    CHENNAI · FULLTIME

    AI/ML Data Scientist

    LiveMindz

    LiveMindz

    Chennai · onsite · Posted 8d ago

    Sourced fromFoundit
    Not disclosed5–8 yrsfulltimeChennai

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    Section · 01

    About this role

    AI/ML Data Scientist – Walkin Drive on 10th Oct 2026

    Experience: 5–8 Years

    Location: Chennai

    Engagement: Proactive Hiring

    Work Mode: Hybrid / Client Location as applicable

    Role Overview

    We are looking for experienced AI/ML Data Scientists with strong expertise in machine learning, Python, statistics, and data science. The ideal candidate should have hands-on experience in developing, deploying, and optimizing ML/AI solutions and should be comfortable working with business and technical stakeholders.

    Key Responsibilities

    Understand business problems and translate them into data science and machine learning solutions.

    Gather and analyze requirements from business and technical stakeholders.

    Perform data preprocessing, feature engineering, exploratory data analysis, and statistical analysis.

    Develop and optimize machine learning models for classification, regression, clustering, forecasting, and other use cases.

    Apply appropriate ML algorithms and evaluate model performance.

    Work on Generative AI, LLM, RAG, NLP, or AI-based solutions where applicable.

    Develop Python-based data science solutions and reusable ML pipelines.

    Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders.

    Deploy ML models into production and monitor model performance.

    Conduct model tuning, validation, and performance improvement.

    Communicate technical findings and model outcomes clearly to stakeholders.

    Required Skills

    Strong hands-on experience with Python.

    Strong understanding of Machine Learning algorithms and concepts.

    Experience with Pandas, NumPy, Scikit-learn and other Python ML libraries.

    Strong SQL and data analysis skills.

    Experience with feature engineering, model training, validation, and tuning.

    Knowledge of statistics and probability.

    Experience with ML model deployment / MLOps is preferred.

    Good understanding of cloud platforms such as GCP, AWS, or Azure.

    Experience with Generative AI / LLM / RAG is an added advantage.

    Preferred Skills

    TensorFlow / PyTorch

    NLP / Computer Vision

    Generative AI

    LLMs and RAG

    Vector databases

    Prompt Engineering

    MLflow / Kubeflow

    Docker / Kubernetes

    BigQuery / Databricks / Spark

    Cloud AI/ML services

    Candidate Profile

    5–8 years of relevant experience in Data Science / Machine Learning / AI.

    Strong problem-solving and analytical skills.

    Experience taking ML solutions from problem definition through development and production deployment.

    Strong communication and stakeholder management skills.

    Candidates who can join within a short notice period are preferred.

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    Section · 02

    Skills

    Retrieval Augmented GenerationvalidationTuningmachine learning algorithmsMLOpsfeature engineeringstatisticsLarge Language Models (LLMs)Model TrainingScikit-LearnPythonSQLPandasNumpydata analysisGenerative Ai

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