Senior AI Engineer

🕒 vor 7 Monaten

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Codvo.ai

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51 - 200 Mitarbeiter

Gegründet 2019

🔒 Cybersecurity

☁️ SaaS

AI • Cybersecurity • SaaS

Codvo. ai ist ein Technologieunternehmen, das sich auf die Bereitstellung strategischer Unternehmenslösungen durch fortschrittliche, KI-gesteuerte Innovation spezialisiert hat. Das Unternehmen konzentriert sich darauf, Unternehmensdaten in messbaren Wert zu verwandeln, indem es Unternehmen hilft, das Wachstum mit kundenspezifischen KI-Implementierungen zu beschleunigen, die speziell auf die Herausforderungen verschiedener Branchen zugeschnitten sind. Zu den umfangreichen Dienstleistungen gehören KI/ML-Automatisierung, Anwendungsentwicklung, Datenanalytik, Cybersicherheit und digitale Transformation, um sicherzustellen, dass Organisationen in einer sich schnell entwickelnden digitalen Landschaft gedeihen können.

Beschreibung

• Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads. • Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context. • Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines. • Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications. • Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines. • Ensure data quality, consistency, and security throughout the ingestion process. • Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications. • Develop and maintain APIs for seamless communication between AI services and backend systems. • Monitor and optimize the performance of integrated AI services within the Generative AI pipeline. • Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources. • Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI. • Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications. • Design, develop, and maintain backend services that support Generative AI applications. • Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads. • Implement monitoring and logging systems for backend services and pipelines supporting Generative AI. • Troubleshoot and resolve backend-related issues impacting Generative AI applications.

🎯 Anforderungen

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems. • Proven experience in designing and implementing data ingestion and processing pipelines. • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. • Expertise in Python and relevant AI/ML libraries. • Strong understanding of AI infrastructure and deployment strategies. • Experience with data engineering and data processing techniques. • Proficiency in software development principles and best practices. • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience with version control (Git). • Experience with RESTful APIs and API development. • Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval. • Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs). • Experience with integrating and managing Generative AI services. • Understanding of RAG pipelines and their application in Generative AI. • Experience with prompt engineering for LLMs in Generative AI contexts.

🏖️ Vorteile

• Professional development opportunities • Flexible working hours