Senior data analyst állások, munkák programozó, fejlesztő kategóriában

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

Grow personally as key player in the global finance team by developing the system landscape, creating data pipelines and BI products and that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions including global supply chain, sustainability, research...

• Build an intuitive and secure DeFi wallet that simplifies Web3 experiences, making self-custody accessible for everyone.
• Work on our next generation of Web3 products and tackle complex solution-level challenges across both backend systems and frontend experiences.

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

Translating business needs into scalable AI solutions Developing enterprise-grade AI solutions Working effectively in a collaborative, multi-disciplinary, and global team environment...

• Characterization, optimization, and application of the electromagnetic (EM) near-field
• predictive modeling of interactions between physical agents and physiology in complex anatomies
• medical applications that bridge fundamental research with real-world impact

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Support our development engineers in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains...

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Web app development, deployment, and maintenance
• Curation of pipelines dedicated to efficient, high-throughput data pre-processing and analysis
• Cluster management / server administration
• Distributed computing / software scaling towards grid engines
• Monitoring / workload surveillance of our HPCs

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

Agentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation: Design, implement and maintain Agentic AI applications to support various areas of Octapharma's core business (such as Manufacturing Science and Technologies, Research & Development, Sales)...

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...