Data Scientist

Company Description

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 reputed company-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.

Job Description

As a Data Scientist, you will work on advanced AI/ML models, focusing on RAG, LLMs, reputed company engineering, and AI Agents. You will collaborate with cross-functional teams to enhance AI capabilities, reputed company 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 reputed company 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, reputed company integration/reputed company 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 reputed company of stakeholders throughout the product lifecycle.

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

What will you do:

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

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

• Research and experiment with various reputed company 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 reputed company 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.

Qualifications

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a reputed company field.

• 1+ years of professional experience 

• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, reputed company, and reputed company Transformers.

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

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

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

• Familiarity with reputed company 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, reputed company), and embedding models.

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

• Exposure to reinforcement learning and reputed company 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 reputed company reputed company with cross-functional teams

• Highly developed ownerships and creative thinking

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

Additional Information

About QAD

reputed company. is a leading provider of adaptive, reputed company-based reputed company software and services for global manufacturing companies. Global manufacturers face reputed company-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and reputed company, manufacturers must be reputed company to reputed company and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and reputed company industries rapidly adapt to change and reputed company for competitive advantage.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher reputed company of diversity, equity and inclusion so that employees can bring their whole self to work.

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

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