Machine Learning Engineer

Avensys Consulting; Paris; Sur place; EUR 80 000 - 100 000; Plein temps

Résumé du poste

A leading IT consulting firm in Paris is seeking a Senior Forward Deployment Engineer to lead technical implementation and integration of advanced AI platforms. The role requires a deep engineering background, strong DevOps skills, and hands-on experience with machine learning operationalization. You'll ensure seamless deployment, reliability, and compliance with industry standards while collaborating with enterprise teams. This is a mid-senior level contract position in the dynamic field of AI-driven solutions.

Qualifications

• Proven experience in leading technical deployments in enterprise environments.
• Strong architectural and design thinking skills.
• Ability to collaborate with technical teams and stakeholders.

Responsabilités

• Lead end-to-end technical deployment of the Agentic AI platform.
• Architect, design, and build integration pipelines connecting various systems.
• Deploy and scale machine learning models in production.
• Automate deployments using infrastructure-as-code and container tools.
• Ensure compliance with security and regulatory standards.

Connaissances

Engineering expertise

DevOps capabilities

ML operationalization

CI/CD pipelines

Container orchestration

Security best practices

Monitoring and logging

Outils

Docker

Kubernetes

Description du poste

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

• 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.

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.

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.

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‑drive technical investigations, post‑mortems, performance tuning, and scalability assessments.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Business Development

Industries

IT Services and IT Consulting