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Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
Design and deploy scalable AI/ML systems, including generative AI solutions with RAG and embeddings, to solve complex business problems and drive measurable impact.
Build and maintain data pipelines, dashboards, and analyses for public-sector and energy clients using SQL, Python, and BI tools like Power BI and Snowflake.
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Own AI product vision, turning business needs into measurable ML use-cases, and steer a cross-functional team to deliver sovereign-energy solutions using PyTorch, Hugging Face, and MLOps tooling.
Build and deploy generative AI solutions using RAG, prompt engineering, and frameworks like LangChain, while ensuring compliance with AI governance and GDPR.
Build, validate, and deploy real-time ML models for fraud detection, credit scoring, and risk modeling that power an AI agent platform for TradFi and DeFi institutions.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Build automated test systems and data pipelines for silicon photonic devices using Python, instrument control, and ML to analyze optical measurements and optimize chip performance.
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
Design and deploy AI-driven systems and automation workflows for cybersecurity and smart infrastructure, using Python, TensorFlow/PyTorch, and cloud services.
Build and maintain scalable ETL/ELT pipelines, optimize data warehouses, and deploy ML models on Google Cloud Platform using Python and SQL.
Senior data scientist builds ML models and dashboards to optimize oil & gas operations, using Python, SQL, and Power BI.
Build and deploy ML models to optimize pricing, orders, and logistics for a large fashion retailer using Python, Spark, and PyTorch.
Build and deploy LLM-driven AI agents and generative solutions using Azure OpenAI, LangChain, and Hugging Face, focusing on RAG pipelines, multi-agent systems, and responsible AI.
Data analyst builds dashboards, KPI systems, and DWH for a new cloud platform, using SQL, Python, and BI tools to analyze IT processes and prep data for AI.
Build AI/ML models that optimize infrastructure design and reduce CO₂ in the built environment using Python and frameworks like PyTorch or TensorFlow.
Build and deploy ML models into production pipelines for a healthcare services division, refactoring data-scientist models into scalable batch jobs and monitoring performance in AWS.
Build and deploy generative AI and ML applications using embeddings and vector databases to improve healthcare analytics and solutions.
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