Machine Learning Engineer
hace 3 días
Paris
We are seeking a highly experienced Senior Forward Deployment Engineer to lead the technical implementation, integration, and production rollout of advanced Agentic AI platforms in large-scale enterprise environments. This role combines deep engineering expertise, strong DevOps capabilities, and hands-on ML operationalization skills to ensure seamless deployment, scalability, and reliability of AI-driven systems. This is a senior engineering position requiring ownership, architectural thinking, and the ability to collaborate directly with enterprise technical teams, product engineering, and leadership stakeholders. Key Responsibilities 1. Deployment Engineering • Lead the end-to-end technical deployment of the Agentic AI platform across complex enterprise environments., • Architect, design, and build integration pipelines connecting customer systems, APIs, databases, and enterprise applications., • Deploy, operate, and scale machine learning models in production with a focus on performance, reliability, and monitoring., • Automate end-to-end deployments using CI/CD pipelines, infrastructure-as-code, and container orchestration tools (Docker, Kubernetes)., • Ensure smooth rollout, versioning, and updates across staging, pre-prod, and production environments. 2. AI Platform Integration & Optimization • Implement and customize platform components, SDKs, APIs, extensions, and microservices to meet customer-specific use cases., • Build tools and automation scripts for data preprocessing, feature engineering, batch/real-time inference, and model lifecycle operations., • Optimize model serving layers for low latency, high throughput, and efficient resource utilization., • Improve caching, load balancing, and inference pipelines to support mission-critical AI workloads. 3. Reliability, Security & Compliance • Architect deployment solutions aligned with enterprise-grade reliability, resilience, and observability standards., • Implement best practices for security, including encryption, IAM, secret management, and network policies., • Ensure platform deployments comply with SOC2, HIPAA, GDPR, and industry-specific regulatory requirements., • Set up robust monitoring, logging, and alerting frameworks for proactive issue resolution. 4. Engineering Leadership & Technical Escalation • Act as the senior technical lead on customer deployments, owning resolution of complex engineering challenges., • Work directly with customer engineering, infrastructure, and architecture teams to embed the platform into core production workflows., • Provide critical field insights and feedback to the product engineering team for continuous platform improvement., • Lead deep-dive technical investigations, post-mortems, performance tuning, and scalability assessments.