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Tier-1 brand, senior ML role in Bangalore with semiconductor specialization reduces generalist applicant competition.
Applied ML skills transferable broadly, but semiconductor wafer-fab domain preference increases domain specificity.
Requires advanced ML skills and a Master's plus specific frameworks, causing moderately strict shortlisting.
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Design, develop, and implement machine learning models to analyze unstructured and structured big data into actionable insights.
Collaborate with cross-functional teams to identify opportunities for ML solutions and integrate models into production systems.
Evaluate and fine-tune models for optimal performance across metrics like accuracy, precision, and computational efficiency.
Master’s degree in Data Science, Computer Science, or a related field.
Strong programming skills in Python, with proficiency in ML libraries such as TensorFlow, PyTorch, and scikit-learn.
Solid understanding of machine learning algorithms, statistical concepts, data preprocessing, feature engineering, and model evaluation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in applying machine learning to large, diverse datasets in a collaborative, fast-paced environment.
Technical proficiency to communicate complex ML concepts to non-technical stakeholders and work closely with software engineering teams.
Interest or background in semiconductor domain, specifically wafer-fabrication equipment software stack, to align with business context.