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Providence is seeking an exceptional Principal Cybersecurity Architect to lead the research, development, and deployment of Small Language Models (SLMs) specialized for healthcare and cybersecurity applications. This…
- Own ML/AI systems end-to-end: data pipelines, model training, serving infrastructure, monitoring, and iteration - Build LLM-powered applications with custom pipelines, prompt management, evaluation, and optimization…
Lead a team building AI-powered NLP systems to automate and improve financial-proposal drafting, using semantic search, embeddings, and retrieval-augmented generation to structure and reuse controlled content across Asset Servicing.
Senior ML engineer building secure, on-premise AI infrastructure for autonomous agents used by government and enterprise clients. Day to day: LLM gateway/routing, RAG pipelines, guardrails, observability, inference optimization, and GPU scaling using Python/FastAPI, LangChain/LlamaIndex, vLLM/Ollama, Qdrant, Docker/Kubernetes and CUDA.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
Builds and maintains Python-based data pipelines, prepares/validates data in databases, and assists with search/retrieval systems for national security research projects.
Principal ML Engineer builds and optimizes LLM-based models, fine-tuning pipelines, and production-grade ML services for a SaaS platform powering tech solution providers.
Data Scientist & AI Engineer role in Rome (hybrid, 3 days/week on-site) focusing on Python-based ML/NLP solutions, leveraging HuggingFace, OpenAI, and generative AI technologies.
Lead a team of NLP engineers to build LLM assistants, intelligent search, and document processing for a top-5 Russian bank using fine-tuning, RAG, and vector databases.
Build and deploy production AI systems for a global bio-resources company, including GenAI pipelines, document processing, and computer vision for industrial operations.
Builds and optimizes AI-powered legal RAG pipelines using Qdrant, hybrid search, and LLM providers (Anthropic, OpenAI, YandexGPT) to retrieve and rank relevant legal documents from a 23M+ corpus.
Привет! TOPCASE открывает двери для ML-инженера! Представьте мир, где ваш код не просто работает — он меняет жизнь к лучшему. Это место, где разработка софта — это искусство, а программный продукт помогает людям. Если…
Build and optimize Python-based backend and AI systems for a fintech startup, applying LLMs and RAG pipelines to financial data to deliver real-time insights for asset owners.
Build and deploy AI models using Python, PyTorch, and Hugging Face; develop generative AI and NLP solutions with FastAPI and OpenAI integrations.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
ML engineer builds and optimizes RAG pipelines, fine-tunes VLM for technical docs, and prepares on-prem LLM/VLM inference for an AI platform serving engineers.
Build and deploy generative-AI solutions using LLMs, prompt engineering, fine-tuning, embeddings, and RAG pipelines for enterprise use cases like customer service and document automation.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build and ship features for a German AI-powered nutrition app, working across React/TypeScript, Python/FastAPI, and React Native with a milestone-based compensation model.
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.
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