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Principal Data Scientist — AI, MLOps & GenAI Lead
Lead AI/ML engineering and MLOps to build production-grade generative AI and LLM services, translating complex business needs into scalable data products.
Principal AI Engineer
Principal AI Engineer designs and deploys cutting-edge AI systems for enterprises, leveraging language models, agent frameworks, and cloud AI ecosystems to transform business processes.
Senior Data Scientist
Build and deploy production ML models (propensity, churn, forecasting) in Azure Databricks using Python, PySpark and SQL to drive customer analytics and business decisions.
Senior Data Scientist
Lead end-to-end ML/AI model development and MLOps at a construction and infrastructure firm, setting standards for reproducibility, validation, and responsible AI while mentoring junior scientists.
Software Engineer - AI Platform & Agents
Build and deploy AI-powered platforms and agents using LLMs, RAG, and MLOps on AWS/GCP/Azure to power Moody’s next-gen risk intelligence products.
Lead Data Scientist
Lead a team to design, build, and deploy end-to-end machine learning models that drive business decisions and optimisation in insurance, ensuring ethical AI and robust governance.
Software Engineer - AI Platform & Agents
Build and deploy scalable AI platforms and agents using LLMs, RAG, and MLOps on AWS/GCP/Azure, turning experimental AI into production-grade systems.
Lead Data Scientist, AI Strategy & Platform Leadership
Lead a cross-functional team to design and implement a bank-wide AI and data strategy, building production-ready ML models and MLOps pipelines for analytics and automation.
Senior Data & AI Engineer - Azure Platform & ML Ops
Senior Data & AI Engineer builds and maintains Azure-based data pipelines and ML Ops systems to power analytics and AI products for a renewable-energy company.
Software Engineer - AI Platform & Agents
Build and deploy scalable AI platforms and agents using LLMs, RAG, and cloud-native tools to power Moody’s next-gen risk-assessment products.
Lead Data Scientist, AI for Workday Platforms
Lead a team to design and deliver AI/ML solutions that enhance Workday’s platform, leveraging Python, ML frameworks, and cloud/MLOps for scalability and innovation.
Lead Data Scientist — AI, ML & MLOps Expert
Lead the design and delivery of production-grade AI, ML, and MLOps solutions, focusing on RAG, LLMs, and scalable data products for engineering and environmental challenges.
Senior Data Scientist – Generative AI
Senior Data Scientist builds and deploys production-ready Generative AI and ML solutions, including LLM apps, RAG pipelines, and semantic search, to drive commercial value.
Senior Data & AI Platform Engineer
Designs and builds Azure-based data pipelines and datasets for enterprise reporting and AI/ML, applying MLOps and mentoring engineers to deliver trusted data products.
Machine Learning Engineer - AI
Design and deploy AI agents to automate customer service, supply chain, and recommendations for JD.com’s global e-commerce and logistics platforms using ML, NLP, and reinforcement learning.
Machine Learning Engineer
Build and maintain scalable MLOps pipelines to deploy, monitor, and manage machine learning models in production using cloud platforms, CI/CD, and Kubernetes.
Senior Data Scientist - AI & MLOps Leader
Build and deploy AI/ML models (LLMs and traditional) end-to-end, own projects from research to production, and lead MLOps best practices for a UK insurtech.
AI / Machine Learning Engineer
Build, evaluate, and deploy ML systems (PyTorch/TensorFlow) and LLMs in production using FastAPI/Triton/Ray, with MLOps and applied research responsibilities.
Senior AI Engineer - QuantumBlack, AI by McKinsey
Build and deploy AI-driven solutions, scalable data pipelines, and software products using Python, cloud platforms, and MLOps tools while mentoring client teams.
Senior Data and AI Engineer
Build and operate a global renewable-energy data platform, engineering pipelines and AI-ready datasets on Azure/Microsoft Fabric to power analytics and ML at scale.