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Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
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.
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 designs and automates cloud infrastructure and CI/CD pipelines using Terraform, AWS, Azure, and GitHub Actions to deploy containerized apps on Kubernetes.
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 builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
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.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Build and maintain Python-based microservices using AWS (SNS, SQS, Sagemaker, Cloudfront, Cognito), MySQL, MongoDB, and Git in a Scrum team.
Build and maintain cloud infrastructure for AI models, automate deployments with CI/CD, and optimize GPU-powered production environments using DevOps/MLOps tools like Terraform, Kubernetes, and MLflow.
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Lead AWS cloud infrastructure migration using Terraform, provisioning services like Lambda, Redshift, and SageMaker while securing IAM roles and CI/CD pipelines for a data-heavy client.
Design enterprise AI/ML pipelines and governance frameworks for the VA, ensuring responsible deployment of healthcare and benefits systems that meet federal standards.
Senior ML/AI Engineer building LLM/RAG and NLP systems for ecommerce content moderation and insights, deploying on AWS with Python and Kafka.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Design and deliver enterprise-scale generative AI systems on AWS, using Amazon Bedrock, RAG, and agentic workflows while defining architecture standards and ensuring governance and security.
Lead architecture and team for Inari’s Data & AI Platform, integrating AWS, Kubernetes, Databricks, and AI systems to power predictive design and scientific workflows.
Designs and maintains cloud infrastructure using AWS/Azure/GCP, IaC (Terraform), Docker, and CI/CD pipelines to support scalable, secure, and cost-efficient solutions for development teams.
Builds and maintains quantitative models for securities data using Python, Spark, and ML; automates pipelines and delivers financial dashboards.
Senior Data Engineer role at Talan, building and optimizing data pipelines, visualizations, and ML models using Dataiku, Python, Spark, and cloud tools to deliver business insights and POCs.
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