AI/ML/MLOps Engineer (Cloud, GenAI Focus)

Founded in Lyon, France, in 2015, DataGalaxy is the industry’s first Data Knowledge
Catalog, helping organizations understand how their business runs on data. Our data
management platform is dedicated to providing user-friendly metadata mapping,
management, and knowledge sharing to support organizational data governance and
data literacy.

Our mission:
To remain at the forefront of modern data management by empowering data
professionals and business users through increasing data knowledge and providing a
comprehensive understanding of how businesses operate with data. We help
organizations facilitate collaboration, manage data as a true asset, and enable powerful,
data-driven decision-making.

Our values:
Be intentional. Be clear. Be bold. Be humble. At DataGalaxy, each employee brings
unique knowledge, skills, and viewpoints that create a truly well-rounded team. We
encourage unique ideas, innovative thinking, and independent perspectives to achieve
exceptional results together!


🌟Responsibilities:

• Expertise in Generative AI: Possess a solid understanding of generative AI
models and techniques, including but not limited to LLMs, RAG architecture, and
agents.
• MLOps Pipeline Development: Design, build, and maintain robust and scalable
MLOps pipelines for the training, testing, deployment, and monitoring of AI/ML
models. This role specifically emphasizes generative AI models, including fine-
tuning, LLM inference (VLLM), and maintaining open-source LLM models (e.g.,
Llama 3.1).
• DevOps Implementation: Implement the best DevOps practices for continuous
integration and continuous delivery (CI/CD) of AI/ML models.
• Cloud Infrastructure Management: Manage and optimize cloud infrastructure
on GCP for AI/ML workloads, with a strong focus Kubernetes Engine and Helm for
efficient deployment and configuration management.
• Monitoring and Optimization: Develop and implement monitoring and alerting
systems to ensure model performance, reliability, and cost-effectiveness. Analyze
model performance and identify areas for optimization.

• Collaboration and Communication: Collaborate effectively with data scientists,
engineers, and product managers to deploy and maintain AI/ML solutions.
Communicate technical concepts clearly and concisely to both technical and
non-technical audiences.

🦸‍♀️ Ideal Candidate:

• Master’s degree or equivalent from an engineering school in Computer Science,
Data Science, or a related field.
• Strong programming skills, particularly in Python. Familiarity with relevant
libraries/frameworks (e.g. vLLM , PyTorch, Hugging Face, Scikit-Learn).
• Extensive experience with Google Cloud Platform and its AI/ML services.
• Strong experience with GenAI service, in particular Llama3 & vLLM.
• Strong experience of containerization technologies like Docker & Kubernetes.
• Proven experience in creating and managing CI/CD pipelines for AI/ML models.
• Proficiency in version control systems (Git) and effective terminal operations
management.
• Experience in data manipulation and analysis (e.g., Pandas, Spark, duckDB).
• Strong written and verbal communication skills, including the ability to present
complex technical concepts to both technical and non-technical audiences.

What We offer:

• Flexible working hours (forfait jour).
• The opportunity to join a pioneering French startup in its market 🚀.
• Competitive compensation according to your experience and potential.
• Health insurance (Apicil), meal vouchers (Swile card of 9 €/day), and 50%
reimbursement of transportation costs.
• A friendly and welcoming work environment, with offices in the heart of Lyon, 10-
15 minutes from train stations.
• Quarterly team events and seminars to strengthen team cohesion and celebrate
success.