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ML Ops Engineer - Clearance Required
Build and deploy AI/ML models and generative AI systems for government clients, focusing on scalable MLOps pipelines, cloud deployments, and integration with Army operations.
Site Reliability Engineer
Set the reliability strategy for Yuno’s AI-native payments platform on AWS, designing event-driven messaging, SLOs, and chaos engineering to keep global AI agents and payment flows running 24/7.
Manager AI Engineering
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Senior Artificial Intelligence/Machine Learning Engineer
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Python Software Engineer
Build and maintain Python-based web scrapers and OCR pipelines to extract structured data from retail and CPG portals, deploying on AWS.
Senior Hybrid Cloud Architect - (Data Center)
Lead Ford’s hybrid cloud and on-prem infrastructure strategy, managing a team of architects while designing scalable, automated environments for AI/ML workloads and VMware-to-OpenShift migrations using Terraform, Kubernetes, and CI/CD pipelines.
Senior Data Scientist
Build and deploy AI/ML models to improve search and discovery for researchers in intellectual property and science, using Python, cloud platforms, and MLOps tools.
Machine Learning Specialist
Build, deploy, and monitor ML models and AI systems (including multi-agent setups) to predict customer behavior and power financial products at a LATAM fintech platform.
Senior Data Scientist
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Senior AI/Machine Learning Researcher
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
IT Data & Analytics Engineer - Office of Judicial Administration
Build and maintain data pipelines and analytics platforms using Azure, Databricks, and SQL to support judicial operations and reporting statewide.
Data Engineering Manager
Lead a team building cloud-native, multi-cloud data platforms for GM’s connected services, marketing, and AI products using Databricks, Spark, and real-time streaming.
Engagement Manager (Data Science)
Lead data-science projects for insurance clients, guiding teams on modeling, automation, and Gen-AI solutions while managing client relationships and project delivery.
Lead Engineer AI/ML - Onsite
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Deep Learning Engineer
Design real-time computer-vision algorithms and DL models for video analytics, deploy them at customer sites, and publish findings in top-tier journals.
Senior Data Software Engineer with Apache Airflow, Databricks
Build and maintain scalable data pipelines using Apache Airflow and Databricks, migrate legacy systems to cloud, and support ML workflows and ETL processes.
Architect, Data Engineering
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
Principal AI/ML Research Engineer
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
AI Engineer (Remote)
Build and deploy AI models, RAG pipelines, and LLM-powered systems for early-stage startups backed by a VC firm.
Machine Learning Technical Architect
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS SageMaker and EKS, focusing on model lifecycle management, CI/CD, monitoring, and governance for AI/ML systems.