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Popular ML title, Bengaluru metro, and broad ML/MLOps/LLM skillset drive high candidate competition.
Requires specialized ML/MLOps and LLM experience, but core skills remain moderately transferable across industries.
Explicit 8+ years plus mandatory ML, MLOps, LLM, and production deployment skills create strict shortlisting filters.
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Develop and integrate AI/ML models into existing semiconductor design and testing software tools.
Automate machine learning operations (MLOps) and maintain CI/CD pipelines for AI/ML applications.
Design, implement, and maintain AI-enabled applications supporting hardware testing, performance analysis, and data visualization.
Bachelor's degree in Engineering, Computer Science, Mathematics, or Statistics with 8+ years of experience OR Master's degree with 5+ years of experience.
Experience with ML model training and deployment using frameworks like PyTorch, Keras, and scikit-learn.
Proficiency in programming languages Python, C#, Java, JavaScript and containerization using Docker.
Work Experience Required: 8+ years with Bachelor's degree OR 5+ years with Master's degree.
Experienced in building data pipelines and feature engineering using NumPy, Pandas, and SQL for unstructured data.
Skilled in AI model validation techniques to avoid overfitting and knowledge of modern AI tools like OpenAI API, RAG, and Langchain.
Demonstrates ability to work cross-functionally with engineering teams in a fast-paced environment, managing project lifecycle from design to production.