Vizzia

About the Company

Vizzia, votre partenaire de confiance pour des territoires propres et sécurisés. Chez Vizzia, nous développons des solutions innovantes 4G/5G qui accompagnent les gestionnaires de territoires dans leurs défis du quotidien. Nos technologies adressent notamment : - La lutte contre les dépôts sauvages grâce à des détecteurs connectés - La sûreté urbaine avec des solutions de vidéosurveillance installables en quelques heures Notre mission : transformer la gestion territoriale grâce à l'innovation technologique, pour améliorer le cadre de vie des citoyens et optimiser l'efficacité des services publics. Aujourd'hui, Vizzia, ce sont : - Plus de 500 dispositifs déployés sur le territoire - Plus d'une soixantaine de collaborateurs engagés - 110 000 événements traités durant ces 12 derniers mois - Et des pistes de développement infinies pour continuer à accompagner les territoires dans leurs problématiques de sûreté du quotidien. Ensemble, construisons des villes plus propres et plus sûres.

Listed Jobs

Company Name

Vizzia

Job Title

Business Development Representative (BDR) - Stage de fin d'études - 6 mois

Job Description

**Job Title:** Business Development Representative (BDR) – Final Internship – 6 months **Role Summary:** Assist the sales team in generating qualified business opportunities. Act as the initial contact point for prospects, driving the early stages of the sales pipeline for a SaaS product in the smart city sector. **Expectations:** - Book 4–6 qualified appointments per week (increasing with experience). - Achieve a call/email to appointment conversion rate of 8–10 %. - Maintain a clean, up‑to‑date CRM record of all activities. - Continuously improve prospecting scripts, sequences, and processes. - Build foundational skills for a future full‑time sales role. **Key Responsibilities:** - Identify and qualify new commercial opportunities among municipalities, private sector clients, and integration partners. - Execute outbound prospecting: cold calls, emails, LinkedIn outreach, and event participation. - Manage inbound leads generated by marketing campaigns. - Set up qualified meetings for Account Executives. - Collaborate with AEs on targeting strategies and account mapping. - Update and maintain HubSpot CRM with accuracy and rigor. - Contribute to the optimization of prospecting scripts, email sequences, and overall sales processes. **Required Skills:** - Excellent written and verbal communication. - Strong organizational and reliability skills. - Commercial curiosity: drive to understand client needs and market decision cycles. - Proficiency with digital tools (CRM, LinkedIn, prospecting software). - Ability to learn quickly, adapt, and improve prospecting techniques. - Motivation to pursue a career in SaaS sales. **Required Education & Certifications:** - Current enrollment in a final year bachelor’s or master’s program (Bac+5), business school or equivalent. - French language fluency required; English proficiency is a plus. ---

Paris, France

Hybrid

08-01-2026

Company Name

Vizzia

Job Title

Cloud Network Engineer

Job Description

Job title: Cloud Network Engineer Role Summary: Design, implement, and maintain scalable, secure cloud‑network infrastructure across AWS and GCP, ensuring high availability, resilience, and observability for the company’s platforms. Spearhead network automation, IaC, and CI/CD improvements while collaborating with cloud, operations, API, and product teams. Expectations: - Deliver reliable, secure, and observable network services that meet uptime and compliance goals. - Own end‑to‑end network infrastructure and automation, continuously optimizing for efficiency. - Communicate clearly with cross‑functional teams and maintain rigorous documentation. Key Responsibilities: - Configure and manage VPCs, subnets, VPN tunnels, firewalls, and routing on AWS and GCP. - Design and deploy network automation using Terraform or CDK, including APIs, workflows, and observability tools. - Set up and refine Datadog monitoring, alerting, and dashboards for network health. - Administer GCP environments, ensuring availability, compliance, and security. - Drive network hardening, remediation, and DevSecOps best practices. - Enhance IaC and CI/CD pipelines (GitHub Actions or equivalent) to improve deployment reliability and reduce debt. - Coordinate with Cloud, Ops, API, and Product teams to maintain operational continuity. Required Skills: - Strong IaC expertise in Terraform, CDK, or equivalent. - Deep knowledge of cloud networking fundamentals: VPC, subnets, routing, site‑to‑site VPNs, firewalls. - Practical experience with OpenVPN, Netmaker, and VPN troubleshooting. - Network security, IAM, and DevSecOps principles. - CI/CD proficiency (GitHub Actions or similar). - Scripting in Python and/or TypeScript. - Observability expertise (Datadog). - Comfortable with Linux/Bash and Docker; optional Kubernetes or equivalent orchestration. - Professional English proficiency. Required Education & Certifications: - Degree in Computer Science, Information Technology, or related field (or equivalent experience). - Cloud certifications preferred: AWS Certified Solutions Architect, AWS Certified DevOps Engineer, GCP Professional Cloud Architect, or similar.

Paris, France

Hybrid

21-01-2026

Company Name

Vizzia

Job Title

Senior Data Scientist - Computer Vision

Job Description

**Job Title** Senior Data Scientist – Computer Vision **Role Summary** Lead the design, training, validation, and industrialization of large‑scale object detection and tracking models for a new on‑field vehicle monitoring solution. Deliver robust, scalable vision pipelines and collaborate across data engineering, DevOps, and cloud teams to deploy models to cloud and edge environments. **Expectations** * Minimum 5 years of applied Computer Vision experience. * Depth in deep‑learning frameworks (PyTorch/TensorFlow) and object detector architectures (YOLO, Faster R‑CNN, RetinaNet, etc.). * Hands‑on experience fine‑tuning vision‑language models (CLIP, Gemini, GPT‑4, Mistral, etc.) and understanding of their limitations. * Strong Python development skills: testing, versioning, packaging. * MLOps knowledge: model monitoring, continuous deployment, data pipelines. * Bachelor’s+ (Bac+5) or PhD in Computer Science, Applied Mathematics, AI, or equivalent. **Key Responsibilities** * Design, train, and validate YOLO / R‑CNN based detection and tracking models. * Optimize image‑processing pipelines for scalability and robustness. * Build MLOps workflows (MLflow, SageMaker/Vertex AI) to move models from experimentation to production. * Collaborate with Data Engineering and DevOps to implement cloud/edge deployments. * Maintain experiment documentation, reproducibility, and quality standards. * Conduct technology scouting on deep‑learning architectures and vision frameworks. **Required Skills** * Expertise in Python, PyTorch, CUDA, and OpenCV. * Proven work with YOLO, Faster R‑CNN, RetinaNet, DeepSORT, ByteTrack. * Familiarity with VLMs (CLIP, Gemini, GPT‑4, Mistral). * Experience with MLOps tools: MLflow, Grafana, Prometheus, Datadog. * Cloud services: AWS (S3, Lambda, Step Functions) and/or GCP (Vertex AI). * Version control (Git) and unit‑testing practices. **Bonus Skills** * Embedded deployment on NVIDIA Jetson, TensorRT, ONNX, or Edge TPU. * Multi‑object tracking optimization. * GPU performance tuning. **Required Education & Certifications** * Bachelor’s + (Bac+5)/PhD in Computer Science, Applied Mathematics, or related field. * Certifications in AI/ML or cloud platforms (AWS/GCP) preferred but not mandatory.

Paris, France

Hybrid

Senior

02-02-2026

Company Name

Vizzia

Job Title

Engineering Manager - Computer Vision

Job Description

**Job Title** Engineering Manager – Computer Vision **Role Summary** Lead the design, development, and production deployment of computer‑vision systems for large‑scale urban monitoring and waste detection. Own the end‑to‑end CV product lifecycle while building and scaling a cross‑functional team of engineers and data scientists in a fast‑moving startup environment. **Expectations** - Deliver robust, production‑grade vision models that meet real‑world performance requirements. - Mentor and grow a high‑performing team; establish clear career paths and decision‑making processes. - Align technical strategy with product and business goals in partnership with AI and product leadership. **Key Responsibilities** - Design and evolve the vision stack and ML infrastructure, managing data ingestion, training pipelines, and evaluation protocols. - Lead implementation of detection, tracking, and multimodal CV models (e.g., YOLO, R‑CNN, DeepSORT). - Own MLOps practices: CI/CD, model versioning, monitoring, and deployment to cloud/edge targets. - Architect production architectures for scalability, reliability, and maintainability. - Coach team members through 1:1s, code reviews, and feedback cycles. - Collaborate closely with Head of AI and product teams to synchronize technical vision with business priorities. - Stay current on CV advancements; drive technology decisions and tool selection. **Required Skills** - Deep expertise in applied computer vision with proven production deployments. - Strong Python programming and software engineering fundamentals. - Proficiency with PyTorch or TensorFlow; experience with detection/tracking models such as YOLO, R‑CNN, DeepSORT. - Solid MLOps knowledge: pipeline automation, monitoring, version control, and deployment. - Ability to own complex technical topics at the product level and articulate trade‑offs. - Excellent communication, leadership, and mentorship abilities. **Nice to Have** - Vision‑language model experience (CLIP, Gemini, GPT‑4). - Cloud platform (AWS, GCP) expertise. - Model optimisation (quantisation, pruning, distillation) and edge deployment (Jetson, ONNX, TensorRT). - Large‑scale multi‑object tracking system experience. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. - Certifications in relevant cloud or ML platforms are a plus.

Paris, France

Hybrid

11-02-2026