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Role: Deployment Engineer
Location: Paris, France
Contract: 02 Months Extendable
- Lead the end-to-end technical implementation of the Agentic platform in enterprise environments.
- Design and build robust integration pipelines, connecting customer data sources, APIs, and systems of record to the platform.
- Deploy and scale machine learning models in production, ensuring performance, reliability, and monitoring.
- Automate deployments using CI/CD pipelines, infrastructure-as-code, and container orchestration (Docker, Kubernetes).
- Engineering Expertise 10+ years in software engineering, infrastructure engineering, or applied ML engineering.
- Strong proficiency in Python, TypeScript/JavaScript, or other backend languages.
- Experience deploying systems on cloud platforms (AWS, GCP, Azure) using Kubernetes and serverless frameworks.
- Deep understanding of API design, distributed systems, and data engineering workflows.
- Hands-on experience operationalizing ML models in production (TensorFlow, PyTorch, Hugging Face, or custom inference engines).
DevOps & Infrastructure
- Strong background in CI/CD pipelines, infrastructure as code (Terraform, Helm, Ansible).
- Skilled in setting up monitoring, observability, and alerting (Prometheus, Grafana, ELK, Datadog).
- Familiarity with performance profiling, scaling strategies, and SRE principles.
Security & Compliance
- Experience working in environments subject to compliance frameworks (SOC2, HIPAA, GDPR).
- Awareness Knowledge of enterprise SaaS security models (SSO, RBAC, encryption, API security).
Key Skills
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