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Senior ML role in Bangalore with broad LLM and production requirements increases competition.
Role requires specialized ML/AI, LLM and multimodal expertise, so industry background matters significantly.
Explicit 7+ years plus mandatory LLM, deep learning, production and cloud skills make filters strict.
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Design and implement AI and machine learning solutions to modernize Smart Buildings and Infrastructure products.
Develop and deploy end-to-end AI systems including data pipelines, model development, tuning, deployment, and monitoring.
Build deep learning NLP and multimodal models involving text, images, and documents, integrating LLMs and AI agents in a production cloud-native environment.
7+ years of experience building production ML/AI systems, including recent work with LLMs or AI agents.
Bachelor’s or Master’s degree in Computer Science or related field.
Strong Python programming skills with experience in data engineering, machine learning libraries (Scikit-Learn, NumPy, SciPy, Pandas), and deep learning frameworks (PyTorch, TensorFlow, Keras).
Experience deploying AI systems on cloud platforms like AWS, GCP, or Azure, preferably in microservices architectures.
Experienced in working with unstructured and multimodal data at scale, including documents and images.
Demonstrates ownership of AI solutions across all phases from data engineering to deployment in fast-paced, ambiguous startup environments.
Proficient with advanced AI models, agent patterns, and capable of building scalable, maintainable production-grade code.