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Vetted AI & Machine Learning Professionals in Remote
Pre-screened and vetted in Remote.
“Built an LLM multi-agent “ingredient safety” analyzer for cosmetics that cuts consumer research time from ~20+ minutes to minutes, using LangGraph orchestration, hybrid retrieval (Qdrant + Tavily), and safety-focused critic validation (false rejections reduced ~30%→~8%). Also has research-internship experience building computer-vision pipelines to classify emerald color/clarity by translating gem-expert heuristics into quantitative model features.”
Akshit Modi
Mid-level AI/ML Engineer specializing in healthcare NLP and MLOps
“Healthcare/clinical ML practitioner who built and productionized ClinicalBERT-based pipelines to extract and standardize oncology EHR data, improving downstream model F1 from 0.81 to 0.92 while controlling training cost via LoRA/QLoRA. Experienced orchestrating real-time AWS ETL/ML workflows (Glue, Lambda, SageMaker) and partnering with clinicians using SHAP-based interpretability, contributing to an 18% reduction in readmissions and full adoption.”
Frank Meadows
Senior QA Analyst specializing in streaming video, Connected TV, and data annotation
“QA professional with experience across e-commerce and video streaming/gaming-style applications, including migrating/duplicating features with feature flags and managing regression across builds. Emphasizes device/hardware constraints, strong defect evidence collection (ADB/logs/video), and proactive test-data governance to avoid real-world vendor/production impact while coordinating with offshore/onshore teams.”
Pavan Kumar Malasani
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
“GenAI/ML engineer in Citigroup’s finance environment who has deployed production RAG systems for investment banking under strict privacy and model-risk constraints. Built an internal-VPC Llama2 + Pinecone + LangChain solution with NER redaction and citation-based verification to prevent hallucinations, delivering major time savings, and also partnered with global finance executives to ship an AI early-warning indicator for treasury/liquidity risk.”
Alex Olson
Junior AI & Full-Stack Developer specializing in generative AI and web platforms
“Recent graduate with internship experience at Bausch + Lomb building Copilot Studio HR chatbots that reduced HR time spent on repetitive inquiries. Strong focus on conversational flow design, prompt-based steering for predictability, and thorough technical/end-user documentation; also building a personal YouTube AI SEO analyzer.”
Mid-level AI/ML Engineer specializing in MLOps, NLP/LLMs, and computer vision
Junior Applied AI Engineer specializing in LLMs and Retrieval-Augmented Generation
Mid-level AI/ML Engineer specializing in forecasting, NLP, and MLOps
Principal Embedded/Linux & Firmware Engineer specializing in C++/Rust and real-time systems
Mid-level Full-Stack Engineer specializing in ML, data pipelines, and FinTech
Mid-level AI/ML Engineer specializing in GenAI, LLM fine-tuning, and RAG systems
Senior Machine Learning & Computer Vision Engineer specializing in multimodal perception and LLM evaluation
Senior AI & Machine Learning Engineer specializing in fraud detection and MLOps
Mid-Level Machine Learning Engineer specializing in AI backend and generative AI
Mid-level Machine Learning Engineer specializing in MLOps, streaming analytics, and financial risk
Mid-level AI/ML Engineer specializing in LLMs, RAG, and recommendation systems
Mid-level Machine Learning Engineer specializing in MLOps and production AI
Mid-level AI/ML Engineer specializing in healthcare NLP and MLOps