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Senior, niche LLM skills plus Bangalore location produce moderate candidate competition.
Core ML/LLM engineering skills are broadly transferable across industries, lowering background sensitivity.
Explicit 8+ years requirement plus many mandatory AI/LLM/Azure tech filters increases strictness.
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Define, develop, manage, and sustain AI/ML models to support operational efficiency and business needs across projects.
Collaborate with domain experts and external partners to gather requirements, improve AI robustness, explainability, and industrialize AI solutions.
Present AI capabilities to technical and non-technical audiences and actively contribute to the AI community through publications and events.
Degree in artificial intelligence, computer science, or engineering with extensive training in Data Science and AI.
Minimum 8 years of relevant work experience.
Strong Python programming skills and experience with Python data science stack (pandas, scikit-learn, Keras, TensorFlow, PyTorch, OpenAI).
Experience with Microsoft Azure cloud platform and AI/ML algorithms including NLP, deep learning, and familiarity with LLM architectures (e.g., BERT, GPT-4).
Experienced AI professional with demonstrated delivery of high-quality AI models and proven track record in AI-oriented solution testing and debugging.
Operates effectively in Agile environments and collaborates across international and remote teams.
Experienced in working with Generative AI frameworks (HuggingFace, LlamaIndex) and developing AI-based RAG applications.