Tech Riders

www.techriders.io

2 Jobs

9 Employees

About the Company

Tech Riders est le fruit d’une rencontre professionnelle et d’une ambition forte : - Offrir à nos membres un environnement enrichissant où ils peuvent s'épanouir tant sur le plan professionnel qu’Humain - Etablir avec nos clients un partenariat de confiance qui repose sur un service d’excellence Nous croyons fermement que l'épanouissement professionnel est intimement lié à un équilibre sain entre la vie professionnelle et personnelle, une évolution de carrière continue grâce à l'acquisition de nouvelles expertises, ainsi qu'une rémunération équitable. Pour réaliser cette vision, nous nous engageons à construire une entreprise à taille humaine, fondée sur des valeurs et des principes solides tels que la cohésion d'équipe, la transparence, l'équilibre de vie, et le partage de connaissances et de prospérité. Nous accompagnons nos clients dans leurs enjeux SI en proposant des services d’excellences qui reposent sur deux piliers essentiels : Conseil à la DSI : - Gouvernance et Organisation de la DSI - Optimisation des Processus - Amélioration de la Performance de la DSI - Gestion des Risques et Audit Informatique Accompagnement Projet : - Pilotage de Projets : Chef de Projet, Product Owner, - Réalisation de Projets : Business Analyst, Développeurs, etc. Que vous soyez junior, confirmé ou sénior, rencontrons nous et discutons des synergies possibles. Pour commencer ? Transmettez nous votre CV !

Listed Jobs

Company Name: Tech Riders
Job Title: Machine Learning Engineer Banque (H/F)
Job Description: Job Title: Machine Learning Engineer – Banking Role Summary: Design, train, deploy, and monitor ML/NLP models to enhance banking business processes and decision‑making tools. Expectations: - 3–8 years of hands‑on experience as a Machine Learning Engineer. - Proven ability to industrialise ML models with CI/CD practices. - Familiarity with cloud platforms and container orchestration. - Strong analytical mindset and collaborative communication with cross‑functional teams. Key Responsibilities: - Build and operationalise machine‑learning and NLP pipelines from raw data to production. - Clean and enrich training datasets, ensuring quality and compliance. - Develop training, validation, and inference pipelines using Python, MLflow, and Airflow. - Deploy models to Azure, AWS, GCP, Docker or Kubernetes environments. - Monitor model performance post‑deployment, perform tuning, and manage drift mitigation. - Partner with IT and business stakeholders to align model outcomes with banking use‑cases. Required Skills: - Python proficiency with scikit‑learn, TensorFlow or PyTorch. - Experience with MLflow, Airflow, Docker, Kubernetes. - CI/CD for ML workflows, model versioning, and automated testing. - Knowledge of cloud services (Azure, AWS, GCP). - Understanding of financial or banking domain processes. - Strong problem‑solving, attention to detail, and teamwork. Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, Electrical Engineering or related field (Master’s or higher preferred). - Certifications in ML/AI, cloud technologies or DevOps are a plus.

Company Name: Tech Riders
Job Title: Développeur Java IA & Banque (H/F)
Job Description: Job title: Java Developer – AI & Banking Role Summary: Design, develop, and deploy Java microservices using Spring Boot that incorporate AI/ML models for banking applications. Collaborate with data scientists and ML engineers to integrate inference APIs, score models, and NLP components into existing banking systems while ensuring performance, resilience, and scalability. Expectations: 3–8 years of Java/Spring Boot development experience, proven work on AI/ML integrated projects, knowledge of financial domain, proficiency in CI/CD pipelines (GitLab, Jenkins, Docker), and strong collaborative mindset. Key Responsibilities: - Build and maintain Java microservices with Spring Boot that host AI/ML inference services. - Integrate AI modules into current banking systems and orchestrate data flow. - Work closely with data scientists and ML engineers to deploy models in production. - Optimize application performance, ensure resilience and scalability under load. - Write unit tests, conduct code reviews, and document APIs following best practices. - Participate in CI/CD pipeline setup and continuous improvement of release processes. Required Skills: - Java, Spring Boot, microservices architecture. - Experience with AI/ML APIs (scoring, NLP, inference). - CI/CD tools: GitLab, Jenkins, Docker; container orchestration basics. - Familiarity with banking or financial systems. - Strong problem-solving, teamwork, and interest in AI innovation. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering or related field. - Relevant certifications in Java/Spring or DevOps/CI-CD preferred (e.g., Oracle Java SE, AWS Certified Developer, Jenkins Certification).