Consulting Lead
5 days ago
Key Performance Objectives :- Deliver client-ready AI solutions : Design, prototype, and deploy at least two high-impact AI/ML models (e.g., marketing portfolio optimisation, audience segmentation, or content personalisation) that deliver measurable business outcomes.- Build scalable RAG systems : Architect and launch a Retrieval-Augmented Generation platform that enables global teams to intelligently query and apply decades of project data, increasing knowledge accessibility and efficiency by at least 30%.- Break down data silos : Collaborate with data teams to unify fragmented, real-world datasets and establish a scalable platform that enables cross-agency AI workflows within the first year.- Productize internal AI tools : Enhance and scale the AI-assisted Input Brief initiative into a network-wide capability with at least 50% agency adoption by year one.- Establish secure, high-performance AI infrastructure : Develop cloud-based, version-controlled AI pipelines that ensure model scalability, monitoring, and compliance with global data privacy standards.- Drive innovation and influence : Partner with global leadership to translate business challenges into AI-powered solutions, while introducing at least two innovations from emerging AI/ML research to the organization.Desired Qualifications :- Proven track record (8+ years in software engineering/data science; 3+ years in applied AI/ML) of designing and deploying production-ready AI solutions that deliver measurable impact.- Demonstrated hands-on experience building modern Retrieval-Augmented Generation (RAG) systems with frameworks such as LangChain or LlamaIndex, and vector databases such as Pinecone or Chroma.- Advanced proficiency in Python and core AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face). Strong grounding in NLP and unstructured text data.- Experience with at least one major cloud platform (AWS, GCP, Azure) for AI deployment.- Comfort with ambiguity and fragmented data-adept at turning messy inputs into structured, actionable insights.- Ability to design and manage complex AI workflows, including meta-agents, API integrations, and large-scale data transformations.- Skilled at communicating complex technical concepts clearly to non-technical stakeholders.- Experience with MLOps principles and tools (MLflow, Kubeflow) is a plus.- Prior experience in marketing, advertising, or consulting environments is advantageous but not required.What We Offer : - Opportunity to be a founding member of a high-visibility AI team.- Direct impact on a global portfolio of iconic brands.- A collaborative, innovative culture with room for experimentation and growth. (ref:hirist.tech)
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