Aive

www.aive.com

2 Jobs

72 Employees

About the Company

Generative AI video platform for video post-production automation (Saas B2B platform for brands & video industries). We unleash creativity through video automation. We are hiring ! Join us now. Aive is designed for large-scale video automation. We enable brands to enhance video post-production, distribution, and creative collaboration with all their teams from anywhere. We unleash creativity through video automation Gain days of work with Aive, the easy-to-use AI Video Platform. Aive helps brands and creatives to improve the way of thinking, and gives the freedom to create, iterate, and generate a multitude of video variations online in minutes. Aive offices are in Montpellier and Paris. We are hiring now engineers in machine learning and backend dev. Join us now. Our offers https://www.welcometothejungle.com/fr/companies/aive/jobs

Listed Jobs

Company Name: Aive
Job Title: Machine Learning Engineer
Job Description: **Job title** Machine Learning Engineer **Role Summary** Design, develop, deploy, and maintain end‑to‑end machine‑learning pipelines for multimodal video analytics and generation. Work within a cross‑functional squad to transform raw image, audio, and emotion data into scalable AI models that drive creative video production. **Expectations** - Own the full ML lifecycle from data structuring to model monitoring. - Deliver high‑quality, production‑ready models that meet reliability, ethical, and security standards. - Collaborate closely with data, product, and infrastructure teams in an agile squad environment. **Key Responsibilities** 1. **Data Pipeline Design** – Structure datasets, define schemas, and document training workflows. 2. **Model Development** – Implement, train, and fine‑tune PyTorch/TensorFlow models (e.g., YOLO for vision). 3. **Deployment** – Package models with Docker, deploy to Kubernetes on AWS/GCP, and expose APIs via GraphQL or REST. 4. **Optimization** – Apply internal genetic‑optimization algorithms to reduce retraining overhead. 5. **Monitoring** – Track drift, quality, and performance metrics; iterate on models based on feedback. 6. **Collaboration** – Participate in squad planning, code reviews, and cross‑team syncs. **Required Skills** - Proficient in Python and Go programming. - Experience with deep‑learning libraries (PyTorch, TensorFlow). - Strong SQL and relational database (PostgreSQL) knowledge. - Cloud platform familiarity (AWS, GCP, Azure). - Containerization (Docker) and orchestration (Kubernetes). - Familiarity with CI/CD and Terraform. - Excellent problem‑solving, analytical reasoning, and communication. **Required Education & Certifications** - Bachelor’s (Bac+3) or Master’s (Bac+5) in Computer Science, Data Science, or a related field. - Minimum 5 years of professional data‑engineering and machine‑learning experience. - Certifications in cloud (AWS/GCP/Azure) or container technologies are a plus.

Paris, France

Hybrid

22-12-2025

Company Name: Aive
Job Title: Site Reliability Engineer (SRE)
Job Description: **Job Title** Site Reliability Engineer (SRE) **Role Summary** Ensure the reliability, scalability, and cost‑efficiency of a multicloud AI‑driven video platform. Design, automate, and maintain infrastructure, orchestration, and observability for high‑volume workloads on Kubernetes across AWS and GCP. **Expectations** - Deliver reliable services for large‑scale video indexing and AI model inference. - Optimize GPU resource usage and operational costs. - Collaborate across product, data, and design squads to meet deployment timelines. **Key Responsibilities** - Architect, provision, and maintain Kubernetes clusters and associated infrastructure. - Implement IaC with Terraform and automate deployments with CI/CD pipelines. - Design and monitor observability stacks (Prometheus, Grafana, ELK) to detect anomalies early. - Develop and maintain alerting, logging, and incident response procedures. - Profile and tune resource allocations for AI workloads, including GPU scheduling and cost amortization. - Conduct capacity planning for forthcoming multi‑thousand‑hour content ingestion. - Participate in on‑call rotations and root‑cause analysis of outages. - Mentor squad members on SRE best practices and tool usage. **Required Skills** - Linux/Unix system administration and networking fundamentals. - Cloud expertise: AWS, GCP (Azure optional). - Scripting: Python, Bash. - Kubernetes operations and design (deployment, scaling, service mesh). - IaC: Terraform. - Observability: Prometheus, Grafana, ELK stack. - CI/CD pipeline design and maintenance. - Strong troubleshooting, problem‑solving, and communication. - Minimum 5 years in SRE or equivalent experience. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Certifications such as AWS Certified DevOps Engineer or GCP Professional Cloud DevOps Engineer are preferred but not mandatory.