Hybrid Data Scientist bei QAD, Inc.

QAD is building a world-class SaaS company, and we are growing. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain.

We are a virtual first company and your primary work experience will be virtual / working from your home.  Occasional travel to a physical office may be required to enhance working relationships, collaboration, design, strategy and alignment.   

As a Data Scientist, you will work on advanced AI/ML models, focusing on RAG, LLMs, prompt engineering, and AI Agents. You will collaborate with cross-functional teams to enhance AI capabilities, develop innovative solutions, and optimize machine learning models.

Being a part of the Engineering team, based in the US and Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams.

The Engineering team is responsible for the design, development, and deployment of the organization's core products, with a focus on efficiency and speed. We architect and implement comprehensive solutions, including tools and platforms, to address key business requirements. These solutions encompass critical areas such as provisioning, configuration, continuous integration/continuous delivery (CI/CD), monitoring, service level agreements (SLAs), performance optimization, and system uptime. The team is committed to meticulous execution and collaborates extensively with a broad range of stakeholders throughout the product lifecycle.

This is a hybrid (2-3 days from the office) role from France, Paris

What will you do:

• Develop, fine-tune, and optimize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.

• Implement AI Agents capable of decision-making and interactive learning.

• Research and experiment with various prompt engineering techniques to improve model performance and accuracy.

• Build and maintain machine learning pipelines for AI/ML models in production environments.

• Work with structured and unstructured data, including text, images, and multimodal datasets.

• Collaborate with software engineers and data engineers to integrate AI models into scalable applications.

• Analyze and interpret model outputs to refine algorithms and improve performance.

• Stay updated on the latest AI and ML research and contribute to internal knowledge-sharing initiatives.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

• 1-2+ years of professional experience 

• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, LangChain, and Hugging Face Transformers.

• Experience with NLP, LLM fine-tuning, and retrieval-based systems.

• Knowledge of prompt engineering techniques, LLM jailbreak methods and AI Agents.

• Understanding of traditional and modern machine learning algorithms, including deep learning architectures.

• Familiarity with cloud platforms such as AWS, GCP, or Azure for AI/ML deployments.

• Basic understanding of data engineering, ETL pipelines, and model deployment.

Preferred Qualifications:

• Experience with RAG architectures, vector databases (e.g., FAISS, Pinecone), and embedding models.

• Hands-on experience with MLOps, model monitoring, and performance tuning.

• Exposure to reinforcement learning and generative AI models.

• Strong analytical and problem-solving skills with the ability to work in a fast-paced environment.

• Strong communication and presentation skills with the ability to explain technical concepts to non-technical audiences.

Soft skills:

• Good collaboration skills at all levels with cross-functional teams

• Highly developed ownerships and creative thinking

• Analytical thinking and the ability to solve complex problems
• Process orientation and ability to build effective solutions
• Time management and organizational skills
• Fluent English language skills 

About QAD and QAD Redzone:

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises.  

QAD Redzone helps to enable QAD’s vision for the Adaptive Enterprise. Labor productivity improvements directly impact efficiency. Productive and empowered employees increase the effective capacity of your plant and accelerate time to productivity for new employees giving manufacturers the agility to increase production beyond what was previously possible without having to invest in production equipment or new plants, and reduce the amount and impact of employee attrition. Empowered employees with a growth mindset take extreme ownership of challenges that impact their production goals, creating resilience in the face of disruption.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. 

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