AI/ML Data Scientist

Department Icon Data Science Analytics & Machine Learning
Posted: 3 days ago
5-8 years
Chennai, Tamil Nadu
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 11 Dec 2026

Posted: 3 days ago
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Job Description
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Job Description

  • 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.

Skills

PythonData AnalysisData Analysis SkillsData ScienceMachine LearningAi/mlData ScientistPrompt EngineeringAiMlSqlLlmLlmsGenerative AiRagPytorchTensorflowScikit-learnNumpyPandasNlpComputer VisionMlopsMlflowKubeflowDatabricksModel DeploymentModel TrainingFeature Engineering

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