Machine Learning Engineer
4 weeks ago
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:
- Design and implement machine learning solutions to address business needs.
- Build and maintain high availability, low latency model systems focusing on model development reliability testing, and observability.
- Conduct full life cycle model development, including designing, implementing, and validating machine learning models, along with model optimization and monitoring post-production performance.
- Design adverse action reasons for machine learning models performing risk estimations.
- Design adverse action reasons for machine learning models performing risk estimations.
- Implement various model metrics and validation measures, including out-of-time and in-time validation of behavioral models.
- Design and implement systems by optimizing model hyperparameter tuning processes and satisfying model validation needs.
- Perform data cleaning, wrangling, feature engineering, and feature selection for statistical models and more advanced machine learning techniques.
- 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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