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delivery through agile ways of working, balancing experimentation, speed, and engineering quality.\nCommunicate insights, innovation outcomes, and business impact through effective data storytelling and stakeholder engagement.\nMentor team members and contribute to knowledge sharing, innovation forums, and AI\n\nRequirements: \nExperience in Data Science, Machine Learning, NLP, Applied AI, or AI Product Development.\nProven track record of delivering AI solutions from experimentation through production deployment.\nExperience working within product-focused, cross-functional teams.\nDemonstrated ability to independently solve complex problems and deliver measurable business outcomes.\n\nTechnical Skills: \nStrong expertise in Python and the modern Data Science ecosystem.\nHands-on experience with Machine Learning, Deep Learning, NLP, and Statistical Modelling.\nExperience developing Generative AI applications using LLMs and modern AI frameworks.\nStrong understanding of RAG architectures, prompt engineering, embeddings, semantic retrieval, and vector databases.\nExposure to Agentic AI and frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.\nStrong SQL and data engineering fundamentals.\nExperience building APIs and intelligent services using FastAPI or similar frameworks.\nFamiliarity with Git, Docker, CI/CD, cloud platforms (Azure and/or AWS), and MLOps practices.\nStrong Computer Science fundamentals including data structures, algorithms, system design, and software architecture principles.\n\nWe are looking for individuals who: \nDemonstrate a Go-Getter mindset with strong ownership, accountability, and a bias for action.\nThrive in a builder culture, rapidly progressing from idea to prototype, MVP, and scalable solutions.\nEmbrace a fail-fast, learn-faster approach while maintaining high engineering and delivery standards.\nBuild trusted relationships and influence outcomes through strong collaboration with business, product, and technology partners.\nAdapt quickly to changing priorities, emerging technologies, and evolving business needs.\nApply an AI-first mindset to reimagine workflows, automate processes, and unlock business value.\nCommunicate complex technical concepts through compelling data storytelling and clear business narratives.\nArticulate customer, operational, and commercial impact, helping drive adoption and scale of innovative solutions.\nActively contribute to the Data Science community through knowledge sharing, collaboration, and continuous learning.\nSkills\nAutoGen, CrewAI, Generative AI, LLM, LangChain, LangGraph, Machine Learning, NLP, Python, RAG","description_format":"text","description_chars":3211,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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