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MANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer . This is currently a hybrid position with two to three days onsite in Ashburn, VA . In this role, you will collaborate within a…
Build and deploy AI-powered healthcare tools using LLMs and multi-agent systems to improve senior care access and quality.
Build AI-driven features for SYNCHRO, a 4D construction planning suite, using LangChain, LLMs, and full-stack TypeScript/React in a hybrid role.
Стек проекта: Python 3.12+, FastAPI, asyncio, PostgreSQL, ClickHouse, Kafka, Docker, OpenTelemetry, Prometheus/Graphana, ELK/Kibana, VictoriaMetrics/Jaeger, DWH Обязанности : Разработка и поддержка высоконагруженных…
Develop and deploy AI/ML models for fusion research, optimizing workflows on HPC systems and integrating LLMs into engineering tools like CAD and simulation software.
Build and run a secure Kubernetes platform for AI engineering tools, using GitOps and IaC to host model gateways, retrieval components, and CI/CD runners while enforcing strict data-sovereignty controls.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Build and scale AI-driven document systems, focusing on PDF processing, RAG pipelines, and LLM-powered retrieval/analysis for enterprise workflows.
Junior software engineer building AI-powered document applications, focusing on Python, LLMs, and PDF processing workflows.
Junior software engineer building AI-powered document applications, focusing on PDF processing and LLM-driven workflows using Python.
Build and deploy LLM-powered automation agents for pharma workflows using Python/JavaScript, PostgreSQL, vector DBs, and n8n on an NVIDIA DGX Spark AI sandbox.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Build and optimize AI/ML models using Python, TensorFlow, and PyTorch, focusing on RAG, LangChain, and locally run AI with Ollama for production deployment.
Build and maintain data pipelines that clean, normalize, and embed unstructured documents for RAG systems using Python, Ollama, and Supabase pgvector.
Designs and builds cloud-native, AI-ready data pipelines and services on Azure/AWS, writes backend and frontend code, and automates testing for an IoT-focused R&D team.
Builds Flask web apps and Plotly Dash dashboards for banking analytics, integrates local LLMs and RAG pipelines, and automates risk/compliance workflows.
Builds Flask-based web apps and data dashboards with Plotly Dash, integrating LLMs and RAG for intelligent, AI-driven solutions.
Build and deploy AI-powered full-stack apps using Angular, Docker, and LLMs; optimize models and engineer prompts to solve real client problems.
DevOps Engineer to design, deploy, and maintain AI infrastructure using Kubernetes, Docker, and LLMOps tools like Ollama and LangChain, ensuring scalable, secure systems for logistics and industrial clients.
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