Pre-screened and vetted.
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Senior Data Engineer specializing in cloud data platforms and real-time streaming for financial services
“Data engineer with experience at Bloomberg, UBS, and Bank of America building high-volume financial data platforms and services. Owned an end-to-end pipeline processing ~150–200M records/day (Kafka/Cassandra/S3 → Spark/PySpark → Snowflake) with strong data quality controls and Airflow reliability practices, reporting ~99% reliability and major performance gains. Also built large-scale external API ingestion with compliance-minded rate limiting, schema versioning, and quarantine/validation layers.”
Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps
“Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.”
Junior Software Engineer specializing in scalable distributed systems and cloud platforms
“Backend engineer with experience at UnitedHealth Group redesigning a high-traffic Spring Boot microservice from blocking to reactive architecture during peak season, cutting median latency by 47% for a service used by ~10M customers annually. Strong in Kubernetes-based deployment/scaling and pragmatic rollout strategies (blue-green/incremental traffic shifting) with performance and database troubleshooting.”
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Senior Backend Software Engineer specializing in cloud-native platforms (AWS/Kubernetes)
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Mid-Level Full-Stack Software Engineer specializing in FinTech and data platforms
Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms
Mid-level Software Engineer specializing in Cloud DevOps and MLOps
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms
Mid-level Software Engineer specializing in cloud infrastructure automation and ML systems