Senior Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Cgg. Massy · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Fine-tune and deploy language models for specialized tasks, then build benchmarks to compare results across datasets
- Create reproducible data pipelines with data scientists for ingesting, transforming, versioning and labeling data
- Combine models into agent workflows using retrieval, function calls and code tools, then connect them to production systems
- Apply reinforcement learning and knowledge representation to solve end-to-end problems, while guiding junior engineers
What you bring
- A master’s or doctoral degree in a listed technical discipline, such as computer science, mathematics or physics
- Strong skills in at least one listed programming language and hands-on use of TensorFlow or PyTorch
- Advanced knowledge of language and vision-language models, post-training approaches and model evaluation
- Background engineering data and systems for large-scale model workflows, plus experience delivering enterprise AI projects
- Fluency with Cursor, Windsurf, Trae or another listed coding assistant
Who this fits
This senior role suits an engineer who can take AI work from data pipelines through deployment and provide technical guidance to junior colleagues. It is based in Massy, France, with hybrid work available up to two days per week from home.
From the employer
Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.
Job Summary
We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.
About the Team
You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.
Key Responsibilities
- LLM/NLP Model Development
- Deploy and fine tune LLMs models for domain-specific tasks.
- Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
- Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
- Data Infrastructure
- Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling.
- Ensure robust, reproducible data loops to power iterative development.
- AI Workflow Design & Orchestration
- Orchestrate multiple models to deliver SOTA results.
- Partner with Production team, Software Engineers to bring AI solutions into real-world products.
- Architect and orchestrate multi-model agentic workflows (function calling, tool usage, RAG, and code interpreters) and integrate them into production systems
- Leadership
- Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and innovation.
Qualifications:
Required:
- Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
- Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
- Advanced understanding of LLM and VLM architecture, post-training methods (fine-tuning, RL), and evaluation pipelines
- Experience in data and system engineering for large-scale model workflows
- Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
- Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)
- Experience in applying, fine-tune, optimize and deploy LLMs to industrial-level real user case is a plus
- Passion and aptitude for programming and technology
- Enthusiasm for analytical and problem-solving challenges
- Strong enterprise project experience with Machine Learning and AI
- Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
- Effective communication skills to keep all stakeholders regularly informed on progress.
- Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
Why work with us
- An international culture in which the well-being and development of our employees are a top priority
- Attractive salary and bonus scheme
- Initial 25 days of annual leaves + 14 days of paid reduced working time per year
- PEE/PERCO/CET Pension Savings Plan
- Hybrid work: up to 2 days per week working from home.
- Access to company restaurant with subsidized price
- Access to benefits from Company works council
- Reimbursement of 50% of public transportation card in Ile-de-France region
- Attractive sustainable mobility incentive
- Love sports? Access to equipped Gym with reasonable price.
- Wellbeing Teale app – for helping you to evaluate and improve your mental health.
- Confidential employee assistance program to support our staff covering counselling, wellbeing, legal & financial issues.
Our Hiring Process
At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.
Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.
We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.
We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.