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Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Build and deploy LLM-based AI agents and NLP systems for a new fintech product, including prompt engineering, RAG, and agent orchestration with LangGraph and MCP.
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Build and maintain ML pipelines on Azure Databricks and MLFlow, orchestrating data workflows with Azure Data Factory for production-grade AI systems.
Build and deploy production-grade GenAI systems, including RAG and autonomous agents, using Python and cloud platforms (AWS/GCP/Azure) while leading engineering teams from design to deployment.
Build and deploy Generative AI, Computer Vision, and ML solutions for heavy industries, embedding with customers to architect production-ready systems and guide implementation.
Job Title: AI/ML & Data Ingestion Engineer Location: Bay Area, CA Job Type: Founding Level SWE, Full Time, 3 days onsite Salary: Founders-level equity and $200K-$250K Job ID: 7335 AI/ML & Data Ingestion Engineer -…
Design, build, and deploy AI and data science solutions for government clients, including ML models, pipelines, and analytics products using Python, SQL, and cloud platforms.
Senior AI/ML Engineer (LLM & Generative AI) Remote Position: Senior AI/ML Engineer to support and building cutting-edge AI solutions that advance biomedical research and scientific discovery. You'll work with: Large…
Build and maintain high-scale data pipelines and APIs for a next-gen TV operating system, processing content catalogs with Spark and integrating ML models to power personalized ad experiences.
Driven by the passion to improve quality of people’s lives, WSA continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want…
Build and maintain scalable MLOps infrastructure for AI/ML services, including Kubernetes clusters, GPU optimization, and LLM inference platforms to support Money Forward’s fintech products.
Demand generation specialist at a Series A AI-infra startup; designs and runs multi-channel campaigns to create qualified leads for AI Gateway and AI Deploy, then hands them to sales.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Build AI-powered music tools for guitarists: train models to generate and recognize guitar parts, then test them by playing live to ensure they sound like a real band.
📌 About the Role Jus Mundi is looking for a full-time Senior Platform & Cloud Engineer to join the team. We want you to be part of a team of passionate people who are always ready to help each other. This position…
Senior role leading enterprise AI strategy and solution architecture, designing generative AI systems (LLM orchestration, RAG, vector DBs) and advising C-level clients on secure, scalable AI adoption.
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Builds and maintains AI-powered healthcare platforms using Python, Next.js, and Azure, focusing on document processing and clinical review workflows.
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