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Mid-level ML/LLM role in Mumbai with common experience range creates moderate applicant competition.
Core ML and LLM skills transfer across industries, but DSPM and security context prefers security-domain experience.
Moderate filtering via explicit 2–5 years and specific LLM, NLP, and Python skill requirements.
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Develop and optimize AI models and prompt engineering workflows for classification of sensitive enterprise data across various sources including databases, file systems, and SaaS applications.
Build and maintain datasets, execute evaluation pipelines, and benchmark AI model and prompt performance using metrics like Precision, Recall, and F1 Score.
Contribute to deployment, packaging, and automation of AI/ML models across cloud and air-gapped environments and collaborate with cross-functional teams to enhance AI platform reliability and scalability.
2-3 years of experience in Machine Learning, NLP, AI Engineering, or Software Development.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Strong Python programming skills; experience with transformer-based models using frameworks like Hugging Face Transformers.
Experience with LLM APIs (OpenAI, Anthropic), prompt engineering, and evaluation metrics including Precision, Recall, and F1 Score.
Experience working on production-grade AI solutions involving NLP tasks such as tokenization, embeddings, NER, and text classification with transformer models.
Demonstrated ability to develop, benchmark, and improve AI models and prompts using structured experimentation and evaluation pipelines.
Familiarity with AI infrastructure aspects including deployment automation, containerization (Docker), and collaborative development (Git, CI/CD).