Pre-screened and vetted.
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Mid-level Data Engineer specializing in multi-cloud real-time data pipelines
“Data engineer with healthcare/clinical trial domain experience who owned a 100TB+/month AWS pipeline end-to-end (Glue/S3/Redshift/Airflow) and drove measurable outcomes (20% lower latency, 99.9% reliability, 40% less manual reporting). Also built production data services and API-based ingestion on GCP (Cloud Run/Functions/BigQuery) with strong validation, versioning, and safe migration practices, and launched an early-stage RAG solution (LangChain + GPT-4) for researchers.”
Mid-level Data Engineer specializing in Azure, Spark, and scalable ETL/ELT pipelines
“Data engineer with banking FP&A experience who led an end-to-end migration of 10+ TB from Teradata to Azure (ADF + Data Lake + Databricks/PySpark + Synapse). Emphasizes reliability (multi-stage validation, monitoring/alerts) and performance (Spark tuning, incremental loads, autoscaling), reporting ~99.5% pipeline reliability while supporting downstream consumers with stable schemas and clear change management.”
Senior Data Engineer specializing in cloud data platforms and real-time analytics
“Data/analytics engineer focused on finance and e-commerce integrations, building end-to-end pipelines and services across Odoo, QuickBooks, Snowflake, and Tableau. Replaced a costly third-party Walmart connector with a serverless AWS Lambda pipeline deployed via Terraform/GitHub and monitored with CloudWatch/Datadog, and shipped a bi-directional Odoo↔QuickBooks invoice sync with distributed locking plus Slack-based finance approvals.”
Director-level Human Resources Leader specializing in HR strategy and people operations
“HR leader with 16 years of experience running end-to-end people operations (recruiting ops, payroll, benefits, engagement, performance) and managing small recruiting/ops teams. Notably revamped a logistics hiring process to fill 60 roles in two months and drove ~20% turnover reduction, and led a multi-entity PeopleSoft HCM integration across a state college system with heavy compliance/security stakeholder coordination.”
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Junior Data & Machine Learning Engineer specializing in MLOps and data pipelines
Senior Sales/Solutions Engineer specializing in CRM-enabled SaaS and EdTech
Mid-Level Software Engineer specializing in backend systems, cloud, and cybersecurity
Senior QA Automation Engineer specializing in web, API, and enterprise systems testing
Mid-level Full-Stack Software Developer specializing in Java/Spring and cloud microservices
Junior Full-Stack Software Engineer specializing in Python, APIs, and cloud-native systems
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in credit risk, NLP, and fraud detection
Mid-level Product Manager specializing in AI, data strategy, and B2B platforms
Mid-level Data Engineer specializing in cloud data pipelines, analytics, and AI/ML
Mid-level Data Scientist specializing in ML, NLP, and cloud data platforms
Mid-level AI/ML Engineer specializing in Generative AI, RAG pipelines, and NLP