Pre-screened and vetted.
Mid-level GenAI/Data Engineer specializing in LLMs, RAG systems, and fraud detection
“ML/NLP engineer with banking domain experience who built a GenAI-powered fraud detection and risk intelligence system at Origin Bank, combining RAG (LangChain + FAISS), fine-tuned BERT NER, and GPT-4/Sentence-BERT embeddings. Delivered measurable impact (25% higher fraud detection accuracy, 40% less manual review) and emphasizes production-grade pipelines on AWS SageMaker/Airflow with strong data validation and scalable PySpark processing.”
Director of Growth Marketing specializing in multi-channel acquisition and attribution
“Growth and partnerships leader spanning creator ecosystem and B2B SaaS GTM. Drove measurable revenue outcomes by combining performance-based creator deals (including whitelisting/retargeting and geo lift testing) with a repeatable demand engine using Google Search, LinkedIn ABM, AI-personalized outbound, and HubSpot automation—scaling MRR from $15K to $110K and lifting trial-to-paid conversion from ~3.4% to ~9% via persona-based onboarding.”
Mid-level Machine Learning & AI Engineer specializing in Generative AI, NLP, and MLOps
“Built and deployed production LLM systems for summarizing sensitive legal and financial documents, emphasizing GDPR-aligned privacy controls and scalable hybrid cloud architecture. Experienced with Kubernetes/Airflow orchestration and rigorous testing/monitoring practices, and has delivered measurable business impact (18% conversion lift) by translating AI outputs for non-technical marketing stakeholders.”
“At Liberty Mutual, built a production underwriting decision assistant combining LLM reasoning with quantitative models and strong auditability. Implemented a claims-based response verification pipeline that cut hallucinations from 18% to 3% and materially improved user trust/validation scores. Experienced orchestrating ML/LLM workflows end-to-end with Airflow, Kubeflow Pipelines, and Jenkins, including SLA-focused pipeline hardening.”
“Built and deployed a production AI customer support chatbot at Unique Design Inc. using FastAPI, AWS, Docker, and retrieval-based grounding on internal documents. Stands out for hands-on ownership across discovery, deployment, incident debugging, and post-launch iteration, with a strong focus on making LLM systems reliable and safe in real business workflows.”
Mid-level Data Analyst specializing in analytics, BI, and predictive modeling
“Analytics professional with cross-domain experience spanning healthcare claims, logistics optimization, and customer booking funnels. They combine strong SQL/Python execution with stakeholder alignment and operational adoption, and can point to measurable impact including 18% healthcare cost optimization and 24% logistics savings.”
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
“LLM/RAG practitioner who has taken a support-ticket triage automation system from prototype to production, building the full pipeline (fine-tuned models, FastAPI inference services, vector storage, monitoring) and delivering measurable impact (~40% reduction in triage time). Demonstrates strong operational troubleshooting of LLM/agentic workflows (observability-driven debugging, fixing agent routing/looping) and supports adoption through tailored demos and sales-aligned technical communication.”
Mid-level Data Scientist & Product Ops/Analytics professional specializing in AI and KPI systems
“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”
Executive Operations Leader specializing in manufacturing buildouts and multi-industry scaling
“Entrepreneur building a self-funded men's routine/body care startup that originated from developing a topical product to support a brother’s nerve injury recovery, revealing a perceived gap in men’s care. Has also identified and executed a manufacturing coatings opportunity by creating detailed execution plans and building stakeholder trust, and describes a structured, resource-conscious go-to-market approach.”
Junior Marketing Specialist specializing in AI-powered performance and lifecycle marketing
“Growth-creative/performance marketer who owned end-to-end paid social creative testing for Shoebacca’s seasonal footwear launch, driving ~22% CPA reduction and ~30% ROAS improvement by shifting from product-focused ads to UGC with stronger early hooks and clearer value messaging. Experienced translating platform-specific performance signals into modular creative iterations across Meta, TikTok, and YouTube, and aligning performance + creative teams via structured briefs and weekly review cadences.”
Junior Marketing & Social Media Coordinator specializing in content, analytics, and brand strategy
Mid-level Data Analyst specializing in AML, fraud detection, and cloud data pipelines
Senior Lifecycle & CRM Marketing Specialist specializing in retention and marketing automation
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
Mid-level Business Analyst specializing in retention, churn, and revenue analytics
Senior Data Scientist specializing in recommendation systems and forecasting
Mid-level Data Scientist specializing in ML pipelines and real-time analytics
Mid-level Strategy & Operations Analyst specializing in business analytics
Intern Machine Learning Engineer specializing in MLOps and forecasting on AWS