Python állások, munkák ai és automatizáció kategóriában

• Working closely with customers to analyze business needs and translate them into technical requirements
• Participating in pre-sales discussions, helping shape tailored technical solutions
• Collaborating with Sales and Customer Success teams to ensure smooth project execution and client satisfaction

Driving modeling and experimentation for SEON's fuzzy matching and AML screening quality, turning ambiguous problems into well-defined approaches and carrying them from experiment through release and operation...

• Designing and building artificial intelligence and machine learning solutions for enterprise clients
• Operationalizing artificial intelligence and machine learning solutions, combining custom models with cloud and third-party AI services to deliver production-ready outcomes

• Designing and building learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators
• Shaping the data foundation for learner modeling by defining which signals matter and building the datasets models depend on

• Owning the data models and storage architecture behind AI systems, across relational, graph, and retrieval-oriented data
• Building and operating the APIs, backend services, and pipelines that keep data current and accessible

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

Leading the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant, including core Java microservice consuming Kafka messages and contributing to Typescript and Python codebases...

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

Acting as the strategic bridge between business stakeholders and technical developers, ensuring clear communication, alignment of expectations, and the facilitation of requirement review sessions...

• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Leading and developing the three-person QC function, including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Delivering software releases on schedule with defined scope and quality and transitioning to continuous delivery
• Ensuring reliable operation of the CI/CD pipelines and improving their efficiency
• Contributing to the test strategy and coordinating its execution

• Contributing directly to the successful delivery of client engagements focused on banking strategy and innovation
• Crafting long-term strategies and identifying new growth opportunities within and beyond clients' core businesses

• Writing reusable, testable, and efficient code, mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integrating data storage solutions
• Handling security and data protection professionally and precisely

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Developing LLM-powered applications, including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Elosztott rendszerek, mikroszervizek és felhőalapú infrastruktúrák teljes körű observability-jének kiépítése
• Teljesítmény, elérhetőség és stabilitás javítása cutting-edge eszközökkel és módszertanokkal
• Nagyvállalati környezetben előforduló problémák feltérképezése, hibakeresés és dokumentáció

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to ensure all Business Intelligence activities support successful contract delivery...

• AI és AI agent alapú megoldások architektúrájának tervezése és felügyelete
• Üzleti igények felmérése, a megfelelő AI-megközelítés (LLM, agent, automatizálás) kiválasztása
• Prototípusok, PoC-k tervezése és bemutatása, a visszajelzések beépítése

Building and maintaining the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of the Compliance in a Box product...