Live opening · Posted 8 days ago
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· Advanced proficiency in Python and strong software engineering foundations, including object-oriented design, data structures, algorithms, testing, version control, and design patterns.
· Generative AI: LLMs, RAG, prompt engineering, fine-tuning, agents, evaluation frameworks, guardrails, and responsible AI.
· Strong hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
· Practical experience building applications with large language models and related frameworks, orchestration tools, embedding models, and vector search technologies.
· Experience deploying AI workloads on at least one major cloud platform—preferably Microsoft Azure—or equivalent experience with AWS or Google Cloud.
· Strong knowledge of containerization, Kubernetes, CI/CD, REST APIs, microservices, distributed systems, and infrastructure-as-code practices.
· Demonstrated experience with model deployment, monitoring, optimization, governance, and production support.
· Strong analytical, problem-solving, communication, stakeholder-management, and technical leadership skills.
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