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Senior DevOps Engineer (Insurance Data Platform) | f/m/d
Design, automate, and maintain cloud infrastructure and CI/CD pipelines for an insurance-focused data platform using AWS, Terraform, and Azure DevOps.
Data Architect
Designs and implements scalable, secure cloud data architectures across GCP, AWS, and Azure to support analytics, AI/ML, and real-time systems for a cloud-first enterprise.
Data Scientist
Build and deploy ML models, predictive analytics, and data pipelines using Python, SQL, and cloud tools to drive business decisions and user experience improvements.
Remote Senior Data Engineer — AWS Data Pipelines & ETL
Senior Data Engineer builds and maintains AWS-based ETL pipelines, transforming raw data into clean, analytics-ready datasets for product, ML, and analytics teams.
AI ML Architect
Designs and advises on end-to-end AI/ML and Gen AI architectures, integrating LLMs, RAG systems, and MLOps for scalable enterprise solutions.
Lead AI/ML Data Scientist - VP
Lead AI/ML model development for enterprise-scale financial reconciliation, deploying Agentic AI and LLMs to optimize global banking operations and risk processes.
Senior Machine Learning Engineer
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Software Engineer/Developer (ML/AI Focused)
Develop ML/AI models and perception systems for next-gen agricultural harvesting equipment using C++/Python, computer vision, and ROS in a Linux/AWS environment.
Sr Staff AIOps and DevOps Engineer
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
Senior DevOps Engineer – Application Deployment
Senior DevOps Engineer designs and automates cloud infrastructure and CI/CD pipelines using Terraform, AWS, Azure, and GitHub Actions to deploy containerized apps on Kubernetes.
Enterprise Data & Generative AI Engineer
Build and maintain an AI-ready data fabric integrating SAP, cloud lakehouses (Databricks/Snowflake), IoT, and unstructured data to power analytics, ML, and generative AI pipelines for a CPG business.
Data Scientist
Build and validate ML models and LLM-powered solutions to drive business impact, partnering with stakeholders and communicating insights to non-technical teams.
Sagemaker DevOps Engineer - Europe
Build and automate AWS SageMaker environments and MLOps pipelines for enterprise ML teams, focusing on scalable infrastructure and CI/CD for model deployments.
Principal Data Engineer, LLM/AI Platforms (Remote)
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
AI‑First Data Scientist
Build and deploy production-grade AI/ML models for retail brands, using cloud platforms like AWS SageMaker and Vertex AI to automate decisions and embed intelligence into operating systems.
Machine Learning Engineer - (Computer Vision)
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.
Lead Data Scientist - AI
Lead a team to design, build, and deploy AI models and agentic systems for wealth-management advisors using Python, PyTorch/TensorFlow, and modern ML ops tooling.
Data Scientist with Machine Learning Engineer
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Backend Developer
Build and maintain Python-based microservices using AWS (SNS, SQS, Sagemaker, Cloudfront, Cognito), MySQL, MongoDB, and Git in a Scrum team.
Senior Data Engineer
Senior Data Engineer builds and scales cloud-native data pipelines, warehouses, and APIs for a fintech client, using AWS, Snowflake, Python, and SQL.