Machine Learning Engineer (f/m/x)

DiliTrust; Quartier Boieldieu; Hybride; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading Legal Tech firm is seeking a Machine Learning Engineer to enhance its AI capabilities. The role involves developing scalable ML systems and collaborating with various teams to implement AI use cases. The ideal candidate should have experience in LLM fine-tuning and NLP techniques. This position offers a supportive environment with hybrid or remote work options.

Prestations

CSE

Luncheon vouchers

Profit-sharing bonuses

Weekly sport sessions

Qualifications

• Proven experience with LLM fine-tuning and prompt engineering.
• Strong background in Natural Language Processing and model optimization techniques.
• Skilled in building and maintaining ML pipelines in Python.

Responsabilités

• Conduct applied research to enhance internal generative AI capabilities.
• Collaborate with teams to design and implement AI use cases.
• Benchmark and improve AI agent performance through evaluations.

Connaissances

LLM fine-tuning

Prompt engineering

NLP

Model optimization

CI/CD

ML pipelines in Python

Outils

PyTorch

Hugging Face Transformers

MLflow

Grafana

FastAPI

Docker

Description du poste

Overview

Ready to be part of the Legal Tech revolution?

Dilitrust is a global SaaS provider delivering an integrated suite of legal and governance products. Our vision is to digitize legal departments worldwide, with strong growth and an aim to become the world’s leading Legal Tech company.

Our reach includes 8 offices across France, the US, Mexico, MEA, Germany, Spain, Italy, and Canada, serving 2,400 customers in 64 countries, with 80% of clients being listed companies in major markets.

We have been recognized for innovation and a positive, entrepreneurial work environment, including labels such as "Happy at Work" and “Tech at Work” since 2019.

Your tasks

We are looking for a Machine Learning Engineer to join our growing ML team and strengthen our Conversational AI Squad — a group dedicated to creating Agentic AI use-cases that unlock the full potential of the DiliTrust suite through advanced, intelligent conversational interfaces.

You will work at the intersection of applied research and production-grade engineering, designing, developing, and deploying scalable ML systems that power real-world features. You will collaborate closely with data scientists, backend engineers, and product managers to bring generative AI capabilities into our core products.

You’ll contribute across two main areas:

1. 1 - Advance Our Internal AI Capabilities

   • Conduct applied research to push our internal state-of-the-art in generative and semantic AI.
   • Design and maintain fine-tuning pipelines for LLMs, leveraging RLHF, GRPO, and domain-specific optimization techniques.
   • Develop robust, reusable components and pipelines for experimentation, training, evaluation, and deployment.

2. 2 - Design & Implement Agentic AI Use-Cases

   • Collaborate with product and engineering teams to conceive, prototype, and deploy AI agents that deliver tangible value across product modules (e.g., contract analysis, board meeting preparation, cross-module reporting).
   • Implement scalable model serving and deployment strategies for production environments.
   • Benchmark, monitor, and iteratively improve agent performance through systematic evaluation.

What we are looking for

• Proven experience with LLM fine-tuning and prompt engineering for production use cases.
• Strong background in NLP, RLHF, or model optimization techniques.
• Skilled in building and maintaining ML pipelines in Python with modern frameworks (e.g., vLLM, Autogen, LangChain, ADK).
• Familiarity with CI/CD, MLOps best practices, and testing strategies for ML systems.

Our technical stack

LLM Frameworks & Tooling: vLLM, LangChain, Autogen, ADK

Model Development & Fine-Tuning: PyTorch, Hugging Face Transformers, RLHF, GRPO, domain-specific optimization pipelines

Experimentation & Tracking: MLflow, Tensorboard, Grafana

MLOps & Deployment: Model serving with vLLM, torchserve and FastAPI, CI/CD for ML containerized workflows with Docker, orchestration via Kubernetes / CloudRun

Infrastructure & Cloud: GCP, OVH

Our values

At DiliTrust, our values guide everything we do. Trust is our foundation, ensuring transparency and integrity in every action. We promote inclusion, fostering a culture of empathy, diversity and belonging. We foster a hands-on spirit, encouraging initiative, resilience and action-oriented thinking. We strive for excellence, constantly pushing boundaries to drive innovation, and demonstrating generosity in all our endeavors. Above all, we succeed as a team, united by collaboration.

What we offer

• Join a fast-growing company in a friendly, international environment (offices in France, Italy, Spain, Canada, Germany, USA as well as Dubai and Mexico).

• Our "Remote Policy" guarantees a balance between onsite and remote work.

• Day-to-day benefits: CSE, luncheon vouchers, profit-sharing bonuses, weekly sport sessions organized by TrainMe, etc.

More info

Location: Paris

Seniority: 2/3+ years of experience

Type of contract: Full time, hybrid or remote