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Mid-level ML role at a known global firm in Bangalore, generalist ML skills attract many applicants.
Strong ML skills transferable, but telematics and automotive domain preferences increase domain-specific fit sensitivity.
Explicit 5+ years plus specialized telematics, streaming and MLOps requirements tighten shortlisting.
Develop and deploy machine learning and AI models using real-time and historical automotive and telematics data for predictive analytics and anomaly detection.
Build scalable data pipelines and real-time analytics solutions to process streaming data from connected vehicles and sensors.
Collaborate with automotive engineers and cross-functional teams to integrate data science insights into vehicle systems, products, and business strategy.
5+ years of relevant experience in data science roles focused on machine learning, AI, and predictive modeling.
Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related field.
Proficiency in Python, R, or Java, and experience with ML/DL frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
Experience with real-time/streaming data processing tools (e.g., Apache Kafka, Flink, Spark) and knowledge of telematics data is highly desirable.
Experienced with automotive domain data or telematics to develop models improving vehicle performance and predicting maintenance.
Skilled at creating and tuning advanced ML/AI models including deep learning, reinforcement learning, and NLP techniques.
Capable of delivering actionable insights via data visualizations and communicating complex analyses to both technical teams and executive stakeholders.