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Principal AI Solution Architect designs and scales enterprise-grade generative and agentic AI systems, leading PoCs, architecture reviews, and responsible AI governance for clients across industries.
Build and maintain AWS-based cloud infrastructure and MLOps pipelines to support AI/ML research, enabling faster model training, deployment, and experimentation for GE HealthCare’s research teams.
CSI is seeking an AI Developer/Engineer to design, build, and optimize machine learning models and AI solutions supporting a federal client's AI Support Services program. This role integrates AI/ML capabilities…
Build and improve ML models for document verification, fraud detection, and biometric checks using Python, SQL, and cloud ML tools to enhance real-time identity trust infrastructure.
Design and build enterprise-grade MLOps platforms to automate the full ML lifecycle from data prep to retraining and governance using cloud-native tools like Kubernetes, CI/CD, and IaC.
Build and scale the cloud and AI infrastructure for a Zero Trust security platform, including Kubernetes, CI/CD, observability, and MLOps tooling while mentoring engineers to own the platform long-term.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Build automated collection and analytic models for intelligence integration using Python, TensorFlow, and geospatial tools to streamline analysis tasks.
Ready to drive the future? As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex…
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
Build and own the user experience for AI-powered healthcare tools, turning complex AI capabilities into intuitive, secure interfaces using React/Next.js and collaborating with ML teams.
Build and maintain a Databricks-powered data platform using Spark, Delta Lake, and Python to power analytics and AI/ML workflows for a company migrating from AWS-native services.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Builds and maintains AWS Lakehouse infrastructure, ELT pipelines, and data models to power analytics and AI features for trade-contractor software.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and maintain cloud-native ML pipelines and automation for AI model deployment using tools like MLflow, Kubeflow, and AWS SageMaker.
Build and maintain an insurance-focused data platform using Python, AWS Glue, Spark, and Data Mesh principles.
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