Data Scientist

Role & responsibilities:

Job Title: AI/ML Data Scientist

Location: Chennai

Experience: Minimum 5 To 10 years

Job Summary:

We are looking for a highly skilled AI/ML Data Scientist to develop and deploy advanced machine learning models, optimize AI-driven solutions, and enhance data-driven decision-making. The ideal candidate should have a strong background in data science, machine learning, deep learning, and statistical analysis, along with experience in cloud computing, big data platforms, and MLOps workflows.

Key Responsibilities:

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Develop and Implement AI/ML Models for predictive analytics, automation, and intelligent decision-making.

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Analyze Large Datasets using statistical and machine learning techniques to extract valuable insights.

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Optimize and Scale ML Pipelines for real-time and batch processing in production environments.

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Deploy AI Models on Cloud Platforms such as AWS, GCP, or Azure using MLOps practices.

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Collaborate with Data Engineers to ensure seamless integration of AI/ML models into enterprise data platforms.

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Design and Optimize Feature Engineering techniques to enhance model performance.

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Implement Explainable AI (XAI) Practices to ensure model transparency and fairness.

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Ensure Data Quality and Integrity through rigorous data validation and preprocessing steps.

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Utilize Open-Source ML Libraries and Frameworks, including TensorFlow, PyTorch, Scikit-learn, and XGBoost.

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Develop and Maintain AI/ML Pipelines using tools such as Apache Airflow, MLflow, and Kubeflow.

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Research and Innovate new AI/ML methodologies to improve business processes and automation.

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• Monitor Model Performance and Drift, ensuring continuous optimization and re-training.

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• Support Data Science Initiatives by mentoring junior data scientists and collaborating with cross-functional teams.

Required Skills & Qualifications:

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• 5 To 10 years of experience in data science, machine learning, and AI model development.

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• Strong Expertise in Machine Learning Algorithms, including supervised, unsupervised, and reinforcement learning.

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• Proficiency in Programming Languages such as Python, SQL.

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• Hands-on Experience with ML Frameworks, Open Source libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.

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• Experience with Cloud AI Services, such as AWS SageMaker, and platforms such as Data bricks, Snowflakes.

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• Deep Knowledge of MLOps Practices, including CI/CD for ML, model versioning, and monitoring.

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• Strong Understanding of Data Technologies, including Spark and distributed computing.

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• Experience in Natural Language Processing (NLP), CNN , and Deep Learning Techniques.

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• Familiarity with AI Ethics, Bias Mitigation, and Explainable AI (XAI).

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• Knowledge of Databases and SQL for data retrieval and preprocessing.

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• Strong Analytical and Problem-Solving Skills to derive insights and optimize AI/ML solutions.

Preferred Qualifications:

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• Bachelors or Masters degree in Data Science, AI, Machine Learning, or a related field.

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• Experience with Generative AI, LLMs (Large Language Models), and Transformer Architectures.

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• Familiarity with Kubernetes, Docker, and containerized ML deployments.

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• Exposure to Graph Neural Networks, Time Series Forecasting, and Edge AI.

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• Certification in AWS, Google, or Azure AI/ML platforms.