AI Engineer / Python Developer
Design, develop, and implement robust AI solutions based on LLMs and agentic systems. Collaborate with the Data & Analytics team to build scalable applications for national and international clients.
Design, develop, and implement robust AI solutions based on LLMs and agentic systems. Collaborate with the Data & Analytics team to build scalable applications for national and international clients.
Design and implement observability solutions including logs, metrics, and traces while creating advanced dashboards and alerts. Collaborate with DevOps and SRE teams to improve incident detection and integrate AI capabilities into observability platforms.
Design and implement data ingestion processes from various sources including databases, APIs, and files. Manage the full data lifecycle, including data modeling, quality assurance, and the development of ETL/ELT pipelines within the Azure and Microsoft Fabric ecosystem.
The Junior Oracle DBA will be responsible for the installation, patching, and upgrading of Oracle database versions 12c and 19c. They will also manage legacy and multitenant environments, including Oracle RAC and DataGuard configurations.
The DevOps Engineer will manage, operate, and evolve container platforms like Kubernetes and OpenShift while automating infrastructure and CI/CD processes. They will also perform troubleshooting, ensure platform availability and security, and act as a technical lead for the team.
Design and implement observability solutions including logs, metrics, and traces while creating advanced dashboards and alerts. Collaborate with DevOps and SRE teams to improve incident detection and integrate AI capabilities into observability platforms.
The Senior Oracle DBA will be responsible for managing, installing, patching, and upgrading Oracle database environments, including RAC and Multitenant architectures. They will also execute migrations across various platforms and perform database tuning and SQL optimization to ensure high availability.
The role focuses on the development and evolution of PaaS platforms, specifically deploying and troubleshooting containerized applications. Responsibilities include creating Dockerfiles, YAML configurations for Kubernetes, and transforming legacy applications into microservices architectures.
Design, train, and validate machine learning and deep learning models for clustering, classification, and anomaly detection. Integrate these models into production pipelines and collaborate on cloud-based proofs of concept and technical documentation.
Design and develop advanced reporting solutions and dashboards using Power BI and Fabric. Translate business needs into analytical solutions, defining corporate KPIs and collaborating with data engineering teams.
Design, develop, and maintain data pipelines using Azure Data Factory and dbt, implementing transformation processes in Snowflake. Ensure data quality and reliability while collaborating with business and architecture teams to optimize the corporate data platform.
The role involves the strategic definition and end-to-end management of security reviews and offensive initiatives, including pentesting and red team exercises. It requires coordinating remediation plans and acting as a liaison between technical teams and business stakeholders.
Lead the design, development, and implementation of low-code solutions, advanced automation, and generative AI agents. Responsibilities include building scalable architectures, managing ALM/DevOps standards, and advising the business on AI and automation strategies.
Design and maintain advanced prompts and reusable frameworks using strategies like chain-of-thought and ReAct. Orchestrate AI agents integrated with RAG, vector engines, and APIs while ensuring Responsible AI policies are applied.
Provide advanced level 2-3 administration and support for Microsoft 365 environments, identity management, and corporate devices. Lead the design and implementation of automation solutions using Power Platform and manage Windows Server infrastructures.
Responsible for the basic administration of the CyberArk PAM platform, including managing privileged accounts, safes, and access permissions. Provides technical support for credential rotation and connection issues while collaborating with cybersecurity teams for continuous service improvement.