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Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Build and maintain ML pipelines in Python and AWS to forecast renewable energy output from wind and solar assets.
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.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Build and maintain the AI platform, automate ML workload deployments, and engineer secure DevSecOps pipelines using Kubernetes, GitLab, and ML tools.
Build and maintain the AI platform’s DevOps/MLOps infrastructure, automate CI/CD pipelines, and deploy scalable ML workloads using Kubernetes, Kubeflow, and GitLab.
Design and maintain scalable ML infrastructure and automated pipelines for an AI platform in homeland security, using tools like Kubeflow, MLflow, and ArgoCD.
Design and implement enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows to deliver scalable analytics and data products for business functions like Finance and HR.
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.
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Designs and maintains scalable data pipelines in Databricks, deploys ML models with MLflow, and builds Power BI dashboards to support analytics and reporting.
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.
To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. You can read about our culture principles here. We know managers are often the single-largest driver of employee…
Build and maintain ML pipelines, backend systems, and cloud-native infrastructure to deploy and monitor AI-driven tools that optimize infrastructure design and reduce CO₂ in the built environment.
Design and build an AI-first IP intelligence platform, converting complex patent workflows into modular, explainable enterprise systems using Azure, Databricks, and modern frontend stacks.
Build and run a production-grade ML platform: design AI system architectures, deploy and optimize LLM inference servers, and maintain MLOps pipelines with GPU scheduling and monitoring.
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Designs and documents high-load lending services for Sberbank, integrating AI agents and LLM prompts to automate dynamic pricing and credit decisions.
System analyst at Sberbank designing and improving online lending services, integrating AI agents and LLM APIs, and modeling high-load distributed systems for millions of users.
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