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Posted 17 May, 2026

AIML Data Scientist - Bangalore

Diverse Lynx
Chennai,Karnataka,560066 Full Time
Reference: 365_569689_25-05626


Hiring for AIML Data Scientist - Bangalore

Job Summary: We are looking for a highly skilled and motivated AI/ML Data Scientist to join our team. The ideal candidate will be responsible for building, evaluating, and deploying scalable machine learning models and AI-driven solutions to solve complex business problems. You should have a strong background in statistics, machine learning, deep learning, data engineering, and software development.

Key Responsibilities:

  • Design, develop, and deploy machine learning models for classification, regression, clustering, NLP, and recommendation systems.

  • Collect, clean, and preprocess large datasets from diverse sources.

  • Use statistical analysis and data mining techniques to extract insights and identify patterns.

  • Develop and maintain data pipelines and model training workflows.

  • Collaborate with cross-functional teams including engineers, product managers, and business stakeholders to define and deliver AI/ML solutions.

  • Monitor model performance in production and implement improvements as necessary.

  • Stay up-to-date with the latest trends and technologies in AI/ML research and applications.

  • Document methodologies, experiments, and results clearly and effectively.


Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

  • 3-5 years of experience in machine learning, data science, or AI.

  • Strong programming skills in Python (preferred), R, or Java.

  • Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc.

  • Proficiency in SQL and working with large-scale data (e.g., Hadoop, Spark).

  • Solid understanding of statistics, probability, and algorithms.

  • Experience deploying models into production (e.g., using Docker, Flask, FastAPI, MLflow).

  • Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.

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