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Senior Data Scientist
Build and deploy GenAI/ML models end-to-end on GCP, containerize with GKE, and implement MLOps pipelines for scalable AI solutions in a regulated pharma context.
AI/ML Engineer
Build and deploy assistive AI/ML features for a Medicaid provider-enrollment platform using Azure AI Foundry, RAG, and document intelligence, with strict governance and HIPAA controls.
Software Engineer
Build and deploy AI-driven security systems, including LLM-based and RAG pipelines, to transform enterprise data into actionable insights and automation.
Data Scientist with Security Clearance
Build and deploy AI/ML models for cybersecurity, focusing on LLMs, prompt engineering, and MLOps with a Top-Secret clearance.
Machine Learning Engineer
Design, build, and deploy ML models and pipelines for production use, collaborating with global teams to integrate AI solutions into client systems.
Senior AI/ML Engineer
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Solution Architect
Designs end-to-end data and AI architectures for a secure government program, ensuring scalable, resilient, and compliant solutions using cloud platforms and big data technologies.
AI/ML Engineer Manager
Lead a team to build and manage a centralized AI/ML Models-as-a-Service platform, overseeing model development, deployment, and MLOps pipelines for enterprise use.
Senior Machine Learning Scientist
Build and deploy ML models and pipelines that power Adyen’s data products, from research to production monitoring and business impact measurement.
Solutions Architect (AI, Python/Data)
Design and ship cloud-native AI solutions (RAG, agents, LLM integrations) in Python, owning architecture and client delivery for global enterprises.
Senior Machine Learning Engineer
Build and deploy ML models for search, pricing, routing, and generative-AI features that power Trainline’s travel platform, collaborating with data scientists and engineers.
ML/AI инженер
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
AI / LLM Inference Engineer
Engineer AI/LLM inference on GPU clusters: benchmark, tune, and optimize model serving with vLLM, Triton, or TensorRT-LLM to hit latency, throughput, and memory targets.
Data Architect, Databricks - Contract
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
Principal Architect, Databricks
Design and lead enterprise Databricks Lakehouse platforms on AWS/Azure/GCP, including Unity Catalog, Delta Live Tables, and ML pipelines, while enforcing data governance and cost optimization.
AI/ML Data Engineer (TS/SCI with Poly Required)
Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Principal Data Scientist
Lead high-impact modeling initiatives for an AI-driven insurance decision-intelligence platform, combining deep learning and traditional techniques to build and deploy predictive models that reveal hidden risk.
Staff Data Scientist
Lead complex AI/ML modeling projects for an insurtech platform, blending deep learning and LLMs with traditional techniques to predict risk and drive business decisions.
MLOps engineer
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Senior Data Scientist
Build and ship core AI models for insurance risk analysis using deep learning and LLMs, from prototype to production with measurable business impact.