Python programozó diákmunka állások, munkák ai és automatizáció kategóriában

Developing scalable library software using modern tools and languages for various numerical methods Performance tuning, optimization, and benchmarking of algorithms on various architectures Working closely with leadership team and other internal and external partners to understand feature and...

Maintaining and evolving AI/ML projects using Python Building design Agentic LLM based solutions and maintaining/improving existing ones Ensuring output quality by verifying consistency and accuracy Investigating, assessing, and developing cloud based MCP solutions Working under Agile Framework...

Client-facing communication Participation in pre-sales discussions Collaboration with Sales and Customer Success teams Communication with clients’ technical teams Solution design and delivery Design and configuration of data labeling and processing pipelines using Python-based tools Combination of...

Data exploration, profiling, cleansing, and preprocessing for high-quality datasets Design and management of workflows for storing and retrieving vectorised documents Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning techniques including large...

Integration of IPs and development of logic for subsystems Understanding and reviewing subsystem architecture Development of microarchitecture specifications Review of verification test plans Debugging and fixing issues Collaboration with performance analysis team to evaluate and improve system...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

C-based application design, development and maintenance in Linux/UNIX environments System-level interface work with POSIX APIs, processes, file systems and sockets Kerberos authentication system development and enhancement Internal implementation maintenance and improvement of open-source...

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

Daily operations ensuring seamless and timely data flow to product pages Identification of opportunities to enhance data pipelines and alerting mechanisms Collaboration with internal and external teams to resolve issues and deliver tactical and strategic initiatives Application of quality...

Incident and Problem Management including system incident investigation, Root Cause Analysis, and execution of long-term remedial fixes Observability and Metrics definition and enforcement of SLAs, SLOs, and success metrics, and building and maintaining dashboards Performance and Capacity...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...

Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops Define And Enforce Data Quality Standards...

Researching and designing new performance attribution models Collaborating with software developers to test and release new models into production Supporting existing performance attribution models in production Developing and improving model quality control and model performance monitoring...

Embedding in the daily life of two engineering teams specialized in AML entity monitoring and case management solutions and device fingerprinting technology Ensuring technical design alignment with SEON's architectural best-practices, pragmatism, completeness and precision Ensuring security,...

Design, implement, and maintain cloud-native infrastructure on AWS or Azure Manage and optimize Kubernetes clusters and containerized applications Build and maintain Infrastructure as Code using Terraform Deploy and manage applications using Helm Charts Develop automation scripts and tools in...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Design, implement, and optimize machine learning models to solve complex business problems Oversee the entire machine learning lifecycle from data collection and pre-processing to model deployment and monitoring Collaboration with data scientists, software engineers, and product managers to...

Design and implement agent-to-agent communication patterns and multi-agent collaboration workflows Integrate LLMs, RAG pipelines, and external APIs/tools into end-to-end agent systems Develop, test, and iterate on orchestration logic including routing, planning, tool selection, error handling, and...

Orvostechnikai eszközök kiberbiztonsági architektúrájának támogatása secure-by-design szemlélet mentén Rendszerszintű kiberbiztonsági elvárásokból származtatott folyamatok és fejlesztési megoldások definiálása dokumentálása és karbantartása Fejlesztők tesztelők rendszer- és szoftverarchitektek és...

Design and ship production-grade agentic systems Take technical ownership of Compliance in a Box (CiaB) AI platform Architect and evolve AI reasoning layer and agent orchestration framework Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)...