7 meilleures offres (lead cloud & data engineer gcp, paris, a8) (à pourvoir)

Forward Deployed Engineers - Python - Paris
Photon —Paris (75)
- Azure
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Offre de poste – Chef de projet SENIOR
Synopsia Ingénierie —Paris (75)
- Azure
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- Master
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ALTERNANCE - Assistant.e Chef de Projet Data
Moët Hennessy —Paris (75)
- Temps plein
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Customer Success Manager
Scality —Paris (75)
- Temps plein
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AI Engineer H/F - Stage / Alternance
Converteo —Paris (75)
- À partir de 1 600 € par mois
- Temps plein
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Lakebase Sales Specialist
Databricks —Paris (75)
- Azure
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- Niveau Licence
Postuler rapidement
il y a 8 jours
Senior Data Engineer
Adikteev —Paris (75)
- De 80 000 € à 100 000 € par an
- Temps plein
- Télétravail partiel
- Anglais
- Niveau Licence
- Commerce
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1 h

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Offre de poste – Chef de projet SENIOR
Synopsia Ingénierie —Paris (75)
Dans le cadre de la croissance de notre activité et afin d’accompagner nos clients dans leurs projets de transformation numérique, nous recrutons des Chefs de…
Chef de Projet IT Senior H/F
GLOBAL PARTNER —Neuilly-Plaisance (93)
Analyse des dossiers clients et cadrage des projets : vous étudiez les besoins, identifiez les enjeux et définissez l’ensemble des phases techniques du projet.
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Key Responsibilities

1. Deployment Engineering

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).

2. AI Platform Integration & Optimization

Implement custom extensions, SDKs, and APIs to adapt the platform to customer-specific use cases.
Build tools, scripts, and microservices to handle data preprocessing, feature engineering, and real-time inference .
Optimize model serving, caching, and resource allocation for low-latency, high-throughput environments.

3. Reliability, Security & Compliance

Architect solutions that meet enterprise-grade standards for resilience, observability, and scalability.
Ensure deployments adhere to security best practices (encryption, identity management, network security).
Navigate compliance requirements such as SOC2, HIPAA, GDPR , and customer-specific regulatory constraints.

4. Engineering Leadership & Technical Escalation

Serve as the senior technical lead on customer deployments, resolving complex engineering challenges.
Partner closely with customer engineering teams to embed the platform into production workflows.
Provide critical field feedback to product and core engineering teams on performance, scaling, and enterprise integration needs.

5. Enablement & Knowledge Sharing

Create reusable deployment templates, automation scripts, and playbooks to accelerate future projects.
Mentor other Forward Deploy Engineers on advanced deployment patterns, DevOps practices, and ML systems engineering.

Qualifications

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 Awareness
- Knowledge of enterprise SaaS security models (SSO, RBAC, encryption, API security).
- Experience working in environments subject to compliance frameworks (SOC2, HIPAA, GDPR).
Soft Skills
- Excellent debugging and problem-solving in high-pressure deployment environments .
- Strong communication with technical stakeholders (engineering teams, architects, CTOs).
- Comfort working in fast-moving, ambiguous situations with minimal guidance.