AI Engineer

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Complexio

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

☁️ SaaS

🏢 Entreprise

Artificial Intelligence • SaaS • Enterprise

Complexio est une entreprise spécialisée dans les solutions d'intelligence artificielle fondamentale conçues pour l'automatisation des tâches à partir des données complètes de l'entreprise. Basée à Londres, elle dispose également de bureaux à Copenhague et à Monaco. Complexio se concentre sur l'exploitation des technologies d'IA pour améliorer l'efficacité et automatiser les processus au sein des organisations. Elle accorde une grande importance à la confidentialité des données et à la gestion du consentement, en veillant à respecter les normes internationales de protection des données.

Description

• Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers. • Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience. • Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness. • Troubleshoot and resolve software defects and issues, ensuring high software quality. • Participate in code reviews, documentation, and the development of coding standards.

🎯 Exigences

• Excellent problem-solving and technical skills. • Strong communication and collaboration skills, with the ability to work in a team. • Interest and experience in working on early-stage software and a wide range of tasks. • Proven experience using technology and how it helped you build a lasting product. • Preferred M.Sc or Ph.d degree in Computer Science or a related field. • 7+ years of experience in Software development. • Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby). • Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js. • Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar. • Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs. • Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).

🏖️ Avantages

• Experience with graph databases such as neo4js, pinecone or milvious or similar. • Experience building native desktop apps. • Experience with NLP libraries and frameworks, such as spaCy, or Transformers. • Familiarity with machine learning concepts and the ability to work with NLP datasets.