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Senior Data Scientist building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
Design and implement enterprise-scale generative AI solutions for clients, collaborating with cross-functional teams to align AI projects with business goals.
Build and deploy AI/ML models and analytics to optimize supply chain, forecasting, and business decisions across a global wine producer.
Research Fellow builds and validates AI/ML models to predict patient outcomes using healthcare datasets and NLP, collaborating on publications and grants.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Design and deploy LLM-driven agentic AI systems for enterprises, focusing on multi-step reasoning and safe scaling while mentoring teams.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Build and deploy AI/ML models to automate workflows and improve efficiency for client projects using Python, TensorFlow, and PyTorch.
Lead AI/ML projects for government, building LLMs and analytics systems while ensuring ethical, explainable outcomes in Python/SQL/MLOps.
Lead the design and deployment of agentic AI systems, including LLM-driven agents with planning, tool-use, and multi-step reasoning for enterprise workflows.
Build and validate AI prototypes for enterprise clients, focusing on generative AI and agentic systems to solve business challenges through rapid experimentation.
Build and validate AI prototypes (summarisation, forecasting) using LLMs and Agentic AI for enterprise clients, assessing feasibility and ROI before full-scale deployment.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Build and deploy AI/ML models for pharma clients using SQL, Python, and healthcare datasets to analyze patient journeys, commercial demand, and clinical data.
Build and deploy AI/ML models for demand forecasting, personalization, and content enrichment using Python and PyTorch, then integrate them into production systems.
Senior Data Engineer/ML Engineer designs, deploys, and maintains scalable ML models and MLOps pipelines for enterprise clients, using Python, SQL, Spark, and AWS.
Design and deploy enterprise-grade AI systems for customer experience orchestration, integrating LLMs, RAG, and real-time data to optimize contact-center workflows and drive business outcomes.
Design and deploy ML models, LLMs, and analytical pipelines to support litigation, regulatory strategy, and AI/cybersecurity advisory for Fortune 100 clients and governments.
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