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Strong brand and remote posting increase applicant density despite senior, specialized requirements.
Requires deep ML/AI, LLM, generative and MLOps expertise, so background fit is highly sensitive.
Explicit 11+ years and many mandatory ML, MLOps and LLM requirements make shortlisting highly strict.
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Design and develop AI/ML solutions focusing on NLP, machine vision, and AI for client business use cases.
Define and review architecture and design ensuring scalability, security, extensibility, and adherence to best practices.
Lead solution selection, technology integration, and problem resolution through design documents, POCs, and stakeholder communication.
11+ years of total professional experience.
Strong experience in machine learning including NLP, machine vision, AI, AI/ML architecture design, and cloud infrastructure implementation.
Proficiency in Python (or R), SQL, deep learning frameworks (TensorFlow, PyTorch, or JAX), and MLOps tools like MLflow, Kubeflow, Docker, or Kubernetes.
Bachelor’s or master’s degree in computer science, IT, or related fields.
Experienced in designing and deploying AI agents in multi-agent systems for autonomous decision-making.
Demonstrated expertise in large language models (LLMs), foundation models, prompt engineering, and generative AI methods like GANs, VAEs, and retrieval-augmented generation.
Capable of translating complex client requirements into technical architectures and leading end-to-end AI/ML solution delivery at scale.