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AI Application Engineer (Part-Time) Location: Argentina, Brazil, Peru, Colombia, Costa Rica, Mexico Department: Workana Premium Workplace: remote Employment Type: full Description Client: medxprts.ai Location: Remote…
Data Scientist – Geospatial Remote Sensing / Satellite Analytics We are looking for a Data Scientist with strong experience in Geospatial Remote Sensing to build AI/ML models for satellite-based change detection and…
About Peak3 Peak3 is an award-winning vertical SaaS provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity. Together with our clients, we…
About Calpion is an 18-year-old Dallas-headquartered technology firm that offers customers artificial intelligence solutions by building custom deep learning and machine learning algorithms, custom enterprise…
Principal AI Full-Stack Engineer builds and operates agentic AI systems for insurance products, owning LLM inference chains, AI infrastructure, and full-stack features from model to UI.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Builds and maintains LLM training, fine-tuning, and inference pipelines on AWS using PyTorch, vLLM, and FastAPI to power a healthcare platform’s AI features.
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Builds and deploys large-scale AI systems for ZoomInfo’s data platform, including recommendation engines, NLP models, and agentic workflows using LLMs, vector search, and MLOps pipelines.
Build, optimize, and deploy large language and multimodal models for industrial use, focusing on training, compression, RAG, and agent workflows.
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.
Build and deploy computer vision and generative AI models for retail applications like visual search, personalized recommendations, and fraud detection using PyTorch, diffusion models, and multimodal systems.
Build and maintain scalable document parsing pipelines and multimodal AI systems to extract, index, and retrieve content for GenAI applications on Azure.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
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