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Tier-1 brand, popular ML/AI title, and Bangalore metro raise applicant competition.
Strong ML/AI specialization plus semiconductor/manufacturing domain preference increases industry-specific fit sensitivity.
Explicit 8+ years requirement and specialized LLM, agentic AI, and MLOps skills make filters strict.
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Design, prototype, develop, and deploy AI and data science software solutions using large-scale LLMs and unstructured data for semiconductor and manufacturing domains.
Lead quick prototyping and build enterprise-scale AI/GenAI solutions including agentic AI workflows and fine-tuning transformer models.
Manage software documentation, testing, debugging, and collaborate with internal customers to ensure solution quality and functionality.
8+ years IT experience with minimum 6 years in data science and 2+ years in agentic AI.
Strong programming skills in Python with hands-on experience in TensorFlow, PyTorch, or Keras.
Deep domain knowledge of semiconductor/manufacturing and experience deploying solutions with unstructured data.
Bachelor’s or Master’s degree in Computer Science, Electronics & Communication or related field; Master’s preferred in AI, Deep Learning, or NLP.
Experienced in designing, pretraining, and fine-tuning transformer-based large language models (BERT, GPT, LLaMA) at scale.
Familiar with MLOps best practices, including CI/CD, model versioning, Databricks, MLflow, and Delta Lake.
Comfortable working with cloud platforms (preferably Azure), UNIX/Linux environments, and advanced AI orchestration frameworks like LangChain or LlamaIndex.