Top Remote Jobs in France

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Drive Paper.io 2’s viral growth across TikTok, YouTube Shorts, and Instagram. Build and test networks of niche accounts, personas, AI-generated content, and gameplay formats; identify trends; coordinate creator collaborations and user-generated content; optimize distribution through seeding, comments, stitches, duets, cross-posting, and boosts; analyze performance metrics; and report weekly findings and scaling priorities.

Manage end-to-end data engineering, cloud, and machine learning consulting projects for EMEA customers. Responsibilities include defining scope, objectives, budgets, timelines, and resources; coordinating cross-functional teams and stakeholders; managing risks, escalations, and customer communications; improving delivery processes; and ensuring adherence to project management standards and methodologies.

Manage warm and cold leads in the Croatian market, win back ex-clients, present Jooble product, communicate via phone/email/WhatsApp, log interactions in Salesforce, analyze funnel, collect customer feedback, and meet individual sales targets.

Define and govern ABB’s enterprise-wide data and information architecture. Establish data domains, models, standards, interoperability patterns, and governance processes while enabling lakehouse, data mesh, analytics, and AI initiatives. Ensure compliance with privacy, security, and data sovereignty requirements. Collaborate with architects, platform teams, and business stakeholders across a decentralized organization, guide adoption, support architecture reviews, and coach domain and solution architects.

Lead and mentor a globally distributed engineering team while contributing to coding, architecture, peer reviews, and technical decisions. Design and deliver scalable user-facing systems, promote CI/CD, testing, code quality, and DevOps practices, and improve engineering workflows. Collaborate with product, design, data, and AI specialists to shape roadmaps and integrate personalized learning capabilities. Manage engineers through regular one-to-ones, feedback, and career support.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Develop and maintain web-service features, design backend APIs and business logic, review code, and improve production infrastructure reliability, redundancy, and resilience. The role requires strong programming, database design, web-service API, AWS, Linux, Docker, Kubernetes, and continuous deployment experience, along with communication, analytical, and teamwork skills.

Conduct exploratory and business data analysis, build and maintain dashboards, translate stakeholder needs into data work, support experiments and investigations, and document queries and standards. Present actionable findings clearly to nontechnical colleagues while ensuring data accuracy and reliability. The role includes working with SQL and data visualization, with opportunities to use Metabase, dbt, Python, or R.

Lead the technical direction and hands-on development of Tetragon, building Go and eBPF runtime security features, scalable Kubernetes and VM deployments, high-performance event pipelines, and distributed systems. Optimize databases and system performance, participate in architecture and code reviews, contribute to open source, and collaborate with Cisco teams to integrate security intelligence with observability platforms.