Python programozó állások, munkák

As a Senior Machine Learning Engineer at PDR.cloud, you will own the complete ML lifecycle: exploratory analysis, data modeling, feature engineering, model development, and production pipelines...

• Leading international presales activities in partnership with Sales
• Building relationships with prospective and existing clients
• Exploring business challenges and defining desired outcomes
• Shaping solutions with architects and delivery experts

• Integration of security best practices into the DevOps lifecycle
• Implementation and continuous improvement of security services
• Improvement of CI/CD pipelines and cloud infrastructure with focus on automation and scalability

• Design and maintain automated CI/CD pipelines
• Automate provisioning and management of infrastructure using Infrastructure as Code tools
• Manage health and performance of mission-critical applications
• Implement advanced monitoring, logging, and tracing for legacy and modern services

Where you belong: Where you belong: ...

• Leadership in integration of security best practices into DevOps lifecycle
• Architecting, implementing, and improving security services, CI/CD pipelines, and cloud infrastructure
• Design and enforcement of secure configuration management, secrets handling, RBAC, and network policies

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Analyze quality, usage, and diagnostic data from customer vehicles in the field
• Identify product issues, usage challenges, and opportunities to improve the customer experience
• Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

Design, develop, implement and own cloud network products, services, and solutions to improve the security, reliability, and connectivity of the N26 unified network infrastructure and systems....

• Manage and scale our Teleport infrastructure for secure access to servers, databases, and Kubernetes clusters.
• Develop and maintain automated Identity and Access Management (IAM) workflows within AWS.
• Implement and improve Just-In-Time (JIT) access solutions to reduce our permanent attack surface.

• Own IAM strategy across Entra ID and Active Directory.
• Manage conditional access, PIM/PAM, and identity lifecycle governance.
• Develop identity-centric detections and threat-hunting workflows, analyzing Entra ID logs and privilege escalation paths in alignment with the SOC.

• Define test strategies for new features, determining what to cover manually and what to automate.
• Conduct detailed testing of new features, considering how editors will use them. This includes judgment on audio processing quality and fidelity.

• Coordination of operations together with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain

• Designing security solutions based on BT’s security portfolio technologies
• Implementing security solutions
• Testing security solutions
• Handing over security solutions to service
• Creating value through technology for security design across complex multiple platforms and/or technology areas

• CI/CD pipeline stability ownership across MFT and MFT Enterprise
• Kubernetes-based on-premise deployment environment building and baselining for MFT Enterprise
• Single-resource dependency reduction on infrastructure through documentation, cross-training, and automation

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.