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Mid-level ML role in Bangalore with popular title and metro location increases candidate density.
Role needs specialized ML, cloud deployment and statistical skills, reducing cross-industry portability.
Explicit 2 to 4 years plus mandatory GCP, Kubeflow, BentoML, TensorFlow and statistical skills.
Design and develop advanced ML models using classic algorithms and deep learning for complex business problems with measurable improvements.
Deploy and optimize AI/ML models on Google Cloud Platform ensuring scalability and integration using KubeFlow and BentoML.
Conduct exploratory data analysis, apply advanced statistical and probabilistic methods to generate actionable insights and maintain data quality using frameworks like Great Expectations and Evidently AI.
2 to 4 years of hands-on experience in AI/ML and data science roles.
Proficiency in Python and SQL; experience with TensorFlow, PyTorch, Sci-Kit Learn, and other ML frameworks.
Experience in statistical analysis (hypothesis testing, regression), classification techniques, forecasting methods, and probabilistic graph models.
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related discipline.
Experienced in deploying and managing ML models at scale on cloud platforms, specifically Google Cloud with KubeFlow and BentoML.
Strong applied knowledge of advanced statistical methods and forecasting techniques to support data-driven decisions.
Familiarity with data quality assurance frameworks and capability to work with cross-functional teams to integrate AI solutions operationally.