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Build and validate agentic AI features for a patent-intelligence platform using NLP, LLMs, and retrieval strategies to power natural-language patent analysis workflows.
Build and deploy enterprise-grade GenAI applications using RAG pipelines, document parsing, vector databases, and LLM orchestration in Python.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Build LLM-powered compliance tools on Google Cloud to detect and interpret regulatory changes for banking clients, using Python and AI pipelines.
Design and deliver enterprise-scale generative AI systems on AWS, using Amazon Bedrock, RAG, and agentic workflows while defining architecture standards and ensuring governance and security.
Design and deploy AI-powered applications, including LLM-based agents and workflows, to transform enterprise processes while ensuring scalability, security, and governance.
Leads AI engineering at Weekday AI, designing and scaling core AI models and infrastructure for the company’s primary product.
Build and scale the core ML systems for a new AI startup, designing models and infrastructure from the ground up.
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Design and deploy production-grade GenAI and ML solutions on AWS for enterprise customers, focusing on cost efficiency, reliability, and security while creating reusable patterns and driving product adoption.
Lead a team of engineers to design and optimize Google’s AI/ML infrastructure, including model deployment and distributed computing, while aligning technical strategy with business goals.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
A Deutsche Telekom MMS GmbH 2019 óta ügyfele és üzleti partnere vállalatunknak és alapvetően a DTAG csoport meghatározó innovációs és digitalizációs szolgáltatója.Ezen dinamikusan fejlődő üzletág magyarországi…
Builds and maintains scalable backend systems for an enterprise GenAI platform, integrating AI models with cloud infrastructure and APIs.
Build and own critical React-based frontend components for Scale’s AI platform, integrating with Node.js/Python backends and distributed data pipelines to power large-scale AI model training and evaluation.
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