Python állások, munkák ai és automatizáció kategóriában

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

Embedding in the daily life of up to three engineering teams: Customer Platform (customer-facing applications, APIs, tenant management and provisioning) and Scoring (rules, scoring models and real-time decisioning)...

• Developing and deploying AI-powered applications using modern software engineering practices
• Integrating Large Language Models (OpenAI, Azure OpenAI, Anthropic) into business solutions
• Building scalable backend services using Python or Node.js
• Developing intuitive user interfaces with React or Angular

Designing, optimizing, and extending transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability...

• Architecting cloud-native AI applications, integrating LLMs, vector search, and real-time data
• Designing end-to-end web solutions from frontend to backend
• Implementing RAG pipelines, model serving, and AI agents in production
• Leading cross-functional teams (Full-stack, AI, Data)

• Support the development of GenAI applications using Python and frameworks such as LangChain or LangGraph.
• Help build and test RAG pipelines for document search, summarization, and question answering.

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Provisioning and managing Azure/AWS resources as part of real client engagements
• Building IaC and CI/CD pipelines to automate deployments
• Ensuring reliability through monitoring, runbooks, and incident handling
• Applying security patterns across projects

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost, differentiating between a working query and an efficient one

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

• Pentest folyamatok részleges automatizálása
• Sérülékenységvizsgálati eredmények AI-alapú feldolgozása
• Saját tudásbázis és RAG-rendszer kialakítása
• Pentest jelentések automatikus generálása
• Eredmények strukturálása, validálása és priorizálása
• On-premise LLM-alapú rendszer fejlesztése

Supporting business and marketing decisions with data-driven solutions, developing predictive models such as churn scoring to drive retention offers and product propensity scoring to realise additional value for customers...

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Leading the design, development, testing, deployment, and maintenance of scalable and robust software solutions
• Collaborating with product owners, business analysts, and other stakeholders to understand requirements and translate them into technical specifications

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

Working directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

• Leading a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake
• Assigning tasks, tracking progress, and ensuring smooth day-to-day delivery