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Lead marketing measurement programs for major brands, designing and deploying MMM, incrementality tests, and GenAI-driven analytics to optimize ad spend and prove ROI.
A hands-on 'player-coach' director role owning marketing measurement and effectiveness (MMM, incrementality testing, geo-lift, attribution) for Artefact's US client portfolio, starting with a large financial-services program. The person leads a multi-workstream data science team, stays close to the models, and builds GenAI/agentic measurement tools in production using causal inference, Bayesian me
Directors AI and Data Science focused on marketing measurement and effectiveness, leading a team to design, execute, and interpret marketing mix modeling, attribution, and experimentation programs using AI/GenAI in production, managing client relationships and scaling measurement solutions.
Hands-on GenAI engineer joining a small senior Singapore team at a US MNC, building production GenAI and agentic systems (RAG pipelines, multi-agent workflows, model integration) under a Lead AI Architect using Python, LangGraph/CrewAI/AutoGen, and Azure OpenAI/Bedrock/Vertex AI.
Senior hands-on AI architect for a major US multinational's Data & AI consulting practice in Singapore. The role owns client AI solution architecture end to end — GenAI and agentic systems (multi-agent orchestration, RAG, MCP/A2A, gateways), model/vendor strategy, and security, controls and governance for regulated enterprise clients.
Design Lead who owns all design at SkyPilot — brand identity, website, launches, social, decks, events, and product design oversight — for an AI compute-infrastructure platform. A hands-on, brand-first role: you design, build, and ship the visual identity and web presence yourself, making a technical product legible to engineers, while setting the design bar company-wide and hiring as the team gro
Company-level technical leadership role setting the technical vision and multi-year architecture for agentic AI systems across Qualified Health's healthcare AI platform. Day to day: define org-wide LLM/agent standards, advise leadership, mentor Staff engineers, and stay hands-on in Python building production AI infrastructure.
Senior architecture role at IT services firm Luxoft: leads enterprise Generative AI strategy, architecting scalable, secure GenAI platforms (intelligent assistants, RAG, agentic workflows) on AWS/Azure/GCP using LLMs, vector databases, Python/Java, and MLOps/LLMOps pipelines, while mentoring teams and advising stakeholders.
Design, develop, and refine AI/GenAI solutions using LLMs, RAG workflows, and prompt engineering at BNY's Pune office. Core technologies include Python, LangChain/LlamaIndex, vector databases, and cloud AI services (Azure/AWS/GCP).
Treble is building the acoustic intelligence platform for the next frontier of AI and audio technology. We bring together physics, AI, and simulation to give teams the synthetic data and development tools to design…
Description About CodeNinja CodeNinja is a global software and AI infrastructure company delivering full-stack technology solutions across AI, software engineering, data, and digital transformation. With operations…
Role Summary We are seeking a motivated AI Implementation Specialist with 6+ years of hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models. This role requires…
To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Marketing, Customer, and Product topics and challenges. Reporting to Sia's Data Science teams, your role is to support…
Senior Python developer role (placed by recruiting agency K&K Talents for a client in France) building production-grade GenAI applications: LLM-powered document processing, agent workflows with RAG and tool calling, plus AI evaluation, guardrails, and observability tooling.
You'll join an AI & Data team as a senior engineer, working independently while collaborating closely with engineering and product teams. You'll design and implement LLM-based solutions such as RAG systems,…
A VIE-contract consultant role in Sia's AI & Data business unit in Melbourne, designing and deploying generative AI, agentic AI, and data science solutions for consulting clients. Day-to-day involves building LLM/RAG applications, AI agents, and ML models using Python, LangChain/LangGraph, PyTorch/TensorFlow, and cloud platforms.
Fine-tunes and deploys large language models for medical decision-support: preparing clinical data, LLM fine-tuning with parameter-efficient methods (LoRA/QLoRA), evaluation and benchmarking, and building MLOps pipelines for scalable deployment and monitoring. Core stack: Python, PyTorch/TensorFlow, Hugging Face, Docker/Kubernetes, MLflow, and cloud platforms.
Build and fine-tune large language models for healthcare, creating conversational AI that automates claims and improves patient experiences using Python, PyTorch, and cloud ML platforms.
About Buildkite Buildkite's CI platform is trusted by the world's leading engineering teams, helping ship software used by more than 1 billion people every day. Companies including Canva, Meta, Mistral AI, and…
AI Data Engineer at RealPage who builds and runs the data pipelines, agentic AI workflows, and automations behind the Technology GRC function (data quality, lineage, catalog, risk register, policy automation) under a human-in-the-loop model. Core stack: Python, LLM application patterns (RAG, tool calling, MCP), and cloud ML platforms.
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