AI/ML Engineer, France

vector8; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Hybrid model options

Private health and life insurance

Home office allowance

Lunch vouchers

Education and conference grants

Résumé du poste

vector8 is seeking an AI/ML Engineer to implement and deploy AI solutions bridging research and production. You will optimize LLM/VLM pipelines, develop TTS/STT models, and apply robust software engineering practices in a EU enterprise setting. The role is primarily based in Paris with travel to client sites across Europe.

You will work with cross‑functional teams to scale AI from individual use cases to enterprise‑wide capabilities, ensuring security, compliance and cost optimization.

Qualifications

• 3–5 years in AI/ML engineering or related field.
• Strong knowledge of Transformers, attention, fine‑tuning, RAG and model evaluation.
• Experience with cloud and enterprise security considerations.
• Proficient in Python and API development.
• Familiarity with Docker, Kubernetes and Terraform.
• Experience with LLM integrations and vector databases is a plus.

Responsabilités

• End‑to‑end model development for GenAI and enterprise needs.
• Deploy distributed, high‑volume ML solutions with low latency.
• Collaborate with data engineers, MLOps, cloud architects and stakeholders.
• Maintain secure, scalable, well‑documented AI pipelines.
• Contribute to CI/CD, testing, monitoring and reliability.
• Translate product requirements into technical solutions and architectures.

Connaissances

LLM architectures

Python

API development

MLOps

Problem solving

English fluency

Formation

Bachelor’s or Master’s in CS/Math/Physics

Outils

Docker

Kubernetes

Terraform

FastAPI

Pydantic

vLLM/TGI/KServe

Description du poste

Job Description

As an AI/ML Engineer at vector8, you will implement and deploy AI solutions that bridge the gap between research and production. Your work will focus on integrating and fine‑tuning AI models, optimizing model performance, and contributing to enterprise‑grade reliability, security, and scalability.

This Is a Hands‑on Engineering Role Where You Will

• Develop and optimize LLM and VLM‑powered solutions for enterprise use cases
• Develop and optimize TTS, STT and ML models
• Apply software engineering best practices (testing, CI/CD, modular design, documentation)
• Collaborate with cross‑functional teams (data engineers, MLOps, cloud architects, and business stakeholders)
• Contribute to solving real‑world enterprise challenges (security, compliance, legacy system integration)
• Participate in the full lifecycle of AI models, from data exploration to production monitoring

You will work closely with vector8’s engineers and project managers to co‑design AI foundations that enable organizations to scale AI from individual use cases to enterprise‑wide capabilities.

The role is primarily based in Paris, with occasional travel to client sites and collaboration with teams across Europe.

Job Requirements

• 3–5 years of experience in AI/ML engineering, software development, or a related field
• Working knowledge of LLM architectures and training methodologies: Transformers, attention mechanisms, fine‑tuning, RAG, quantization, prompt engineering, model evaluation, bias detection
• Solid understanding of machine learning architectures: fully connected, CNN, LSTM, transformers and classical ML models
• Good software engineering skills
• Proficiency in Python (FastAPI, Pydantic, asyncio, type hints)
• Experience with API development
• Familiarity with modern toolchains (Docker, Kubernetes, Terraform)
• Practical experience with LLM integrations: LLM providers; vector databases (Pinecone, Weaviate, Milvus); model serving (vLLM, TGI, KServe)
• Some exposure to MLOps and production deployments
• Understanding of enterprise considerations: security, compliance, scalability, cost optimization
• Experience with relational and non‑relational databases
• Strong problem‑solving and debugging skills
• Good communication and collaboration skills (fluent in English; French or German is a plus)
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related field
• Exposure to multi‑cloud environments (AWS, Azure, GCP) is advantageous
• Familiarity with code optimisation techniques (e.g., model quantization, parallelisation) is a plus

Job Responsibilities

Software Engineering for AI; AI & ML Integration & API Development; Enterprise AI & MLOps; Collaboration & Teamwork; Innovation & Continuous Improvement. Embrace a continuous improvement mentality to drive innovation.

• End‑to‑End model development
• Implement and deploy distributed, high‑volume, high‑performance, low‑latency machine learning solutions, with a focus on GenAI models, especially LLM integrations and API‑driven architectures
• Contribute to model lifecycle activities: data exploration and cleaning, research for appropriate architectures, implementation, training, optimisation, deployment, monitoring, maintenance in production
• Optimize models for performance, latency, and cost efficiency, especially in LLM serving and inference
• Write clean, modular, well‑documented code in Python (FastAPI, Pydantic, asyncio)
• Apply best practices in testing (unit, integration, end‑to‑end), CI/CD (GitHub Actions, GitLab CI, ArgoCD), observability (logging, monitoring, tracing)
• Ensure security and compliance (data protection, access controls, encryption)
• Integrate models and code into CI/CD pipelines for seamless deployment
• Implement AI‑powered solutions integrated with APIs, microservices, event‑driven architectures
• Develop and contribute to AI pipelines: dataset cleaning, preprocessing, model training, fine‑tuning, RAG, prompt engineering, model evaluation
• Build scalable, secure, cost‑efficient serving infrastructure (FastAPI, vLLM)
• Debug and optimise performance (latency, throughput, token efficiency for Transformers)
• Deploy and monitor AI models in production
• Contribute to MLOps pipelines: model training, fine‑tuning, evaluation; model versioning, lineage tracking; A/B testing, canary deployments
• Support scalability and reliability (auto‑scaling, fault tolerance, disaster recovery)
• Collaborate with data engineers to build data pipelines (batch, streaming, real‑time)
• Work closely with product owners, DevOps, QA in an agile, cross‑functional team
• Share knowledge, promote best practices, translate product requirements into technical solutions
• Document architectures, decisions, best practices for internal and client‑facing use
• Develop relationships with stakeholders, clients and partners
• Stay current with the latest AI and ML architectures; experiment with emerging techniques (quantization, distillation, speculative decoding)
• Evaluate and benchmark open‑source and proprietary models (Llama, Mistral, Mixtral, GPT‑4, Claude)
• Bring your own ideas through vector8’s ideation process
• Contribute to vector8’s AI accelerators (reusable components for common industry problems)

Job Benefits

• A great compensation package with competitive benefits
• Flexible working hours, including remote work options (hybrid model)
• 25 days of paid vacation per year, plus additional flex days
• Private health and life insurance and pension plan for long‑term security
• Home office allowance and lunch vouchers
• Discounted fitness memberships
• 50% reimbursement of public transport costs
• Free coffee, fruit, and snacks
• Access to the latest technologies (LangDock, Claude Code for developers)
• Grants for training, coaching, conferences to support continuous learning
• Opportunities to attend industry events and represent vector8 as a thought leader
• Less‑formal work environment where authenticity and collaboration thrive
• Diverse and inclusive team that values curiosity, ownership, and innovation

Why This Role is Unique

• You will work at the intersection of AI research and enterprise software engineering, focusing on AI‑driven solutions
• You will shape the future of AI adoption in France’s most complex organisations
• You will bridge the gap between cutting‑edge AI and real‑world constraints (security, compliance, legacy systems)
• You will grow your skills, collaborate with talented engineers, and have real ownership from day one