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Lead advanced analytics projects, mentor junior engineers, and build predictive models using Python, SQL, and SPSS for UK government clients.
Design and maintain CI/CD, IaC, and MLOps pipelines on AWS/Azure/GCP, focusing on Kubernetes, observability, and AI model deployments while enforcing DevSecOps practices.
Designs and maintains CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for ML and general apps, automating deployments and monitoring systems.
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Build and maintain NLP pipelines to enrich patient data, validate results, and ensure data governance in a healthcare data warehouse using Python/R and ML frameworks like PyTorch/Transformers.
Build and maintain a healthcare data platform, using NLP and ML to extract, validate, and document unstructured patient data while ensuring compliance and quality.
Build and optimize NLP pipelines to extract, validate, and document unstructured patient data for a healthcare data warehouse, using Python/R and ML libraries like PyTorch.
Design scalable data architectures and MLOps pipelines, industrialize ML models, and ensure data quality for enterprise AI projects in cloud environments.
Build and optimize NLP pipelines and ML models to enrich, standardize, and govern health data in a new data platform for a French health-software company.
Builds and deploys AI/ML models in Python, leveraging TensorFlow or PyTorch and cloud/container tech to power backend services and APIs.
Develop and maintain Python-based software solutions, using frameworks like Django or Flask, while collaborating with cross-functional teams.
Builds NLP models in Python to extract and reconcile financial data from documents using OCR, fuzzy matching, and LLMs, then deploys them as REST APIs on Azure.
Build and run backend systems that orchestrate AI models into reliable, low-latency APIs for a proactive smart assistant, handling multi-step workflows and tool calls.
Build and run the backend systems that power an AI chat app, focusing on inference pipelines, orchestration, and reliable APIs for real-world task completion.
Build and deploy AI models and cloud infrastructure for real-time data pipelines in energy and commodities sectors using TensorFlow, PyTorch, Python, and cloud APIs.
Build and deploy AI models and cloud infrastructure for energy/commodities trading clients using Python, TensorFlow, PyTorch, and DevOps practices.
Design and scale backend services, APIs, and data pipelines for AI-powered media workflows, integrating generative models and optimizing performance.
Design AI training tasks, write ground-truth solutions in Python/R and SQL, and audit AI-generated code to improve model reasoning and precision.
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud platforms (Azure/AWS/GCP) and MLOps practices.
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