Jobs

    Machine Learning Engineer - India - Vybe Cabs

    Vybe Cabs
    Vybe Cabs India

    3 weeks ago

    Default job background
    Technology / Internet
    Description

    Company Description:

    Vybe Cabs is an innovative urban mobility startup focused on redefining transportation in India. Our mission is to revolutionize urban mobility by prioritizing safety, community engagement, and cutting-edge technology. We offer unique features such as women-only rides and real-time safety alerts to ensure the well-being of both drivers and passengers. Our goal is to provide reliable, secure, and personalized transportation solutions that meet customer needs and contribute to community well-being.

    Role Description:

    1. Design and implement machine learning solutions to address business needs.
    2. Build and maintain high availability, low latency model systems focusing on model development reliability testing, and observability.
    3. Conduct full life cycle model development, including designing, implementing, and validating machine learning models, along with model optimization and monitoring post-production performance.
    4. Design adverse action reasons for machine learning models performing risk estimations.
    5. Design adverse action reasons for machine learning models performing risk estimations.
    6. Implement various model metrics and validation measures, including out-of-time and in-time validation of behavioral models.
    7. Design and implement systems by optimizing model hyperparameter tuning processes and satisfying model validation needs.
    8. Perform data cleaning, wrangling, feature engineering, and feature selection for statistical models and more advanced machine learning techniques.
    9. Collaborate with regulations, including both internal model governance and external model regulators, to ensure models and machine learning solutions strictly adhere to the desired level of model regulations.

    Qualifications:

    • Experience in Pattern Recognition, Computer Science, and Statistics
    • Strong understanding of Neural Networks and Algorithms
    • Proficiency in programming languages such as Python or R
    • Experience with machine learning frameworks such as TensorFlow or PyTorch
    • Experience with data preprocessing, feature engineering, and model evaluation
    • Knowledge of data visualization techniques
    • Excellent problem-solving and analytical skills
    • Strong communication and collaborative abilities
    • Bachelor's or Master's degree in Computer Science, Statistics, or a related field
    • Experience in the transportation industry is a plus


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