Data Scientist

Overview

The role of Data Scientist at QAD, Inc. offers a unique opportunity for talented individuals looking to make significant contributions in the fields of AI/ML and cloud-based enterprise software. As a part of a world-class Software as a Service (SaaS) organization, you will be positioned to tackle real-world challenges in the manufacturing and supply chain arenas. This is a remote position with occasional travel for collaboration, specifically based in France.

Job Description

As a Data Scientist, you will engage with advanced AI and machine learning models, prominently focusing on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and prompt engineering. Your work will involve collaborating with cross-functional teams to enhance AI capabilities and develop innovative solutions aimed at optimizing machine learning models.

Key Responsibilities

Some of the critical responsibilities outlined for this position include:

• Developing, fine-tuning, and optimizing LLMs and RAG systems.
• Implementing AI Agents capable of complex decision-making and interactive learning.
• Performing research and experimenting with various prompt engineering techniques to enhance model accuracy.
• Constructing and maintaining machine learning pipelines for production environments.
• Collaborating with software and data engineers to optimize the integration of AI models into applications.
• Analyzing model outputs to refine algorithms and improve overall performance.
• Keeping abreast of the latest research in AI and ML to contribute to the team’s knowledge base.

Required Qualifications

To qualify for this Data Scientist position, candidates must possess a Bachelor’s or Master’s degree in fields such as Computer Science, Data Science, or Machine Learning. Additionally, at least 1 year of professional experience is required. Essential skills include:

• Strong programming capabilities in Python, along with familiarity with libraries such as TensorFlow, PyTorch, LangChain, and Hugging Face Transformers.
• Experience with Natural Language Processing (NLP), LLM fine-tuning, and retrieval-based systems.
• Knowledge of prompt engineering techniques.
• Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML deployments.

Preferred Qualifications

While the required qualifications are crucial, having additional experiences can bolster your application:

• Hands-on experience with RAG architectures and vector databases (e.g., FAISS, Pinecone).
• Exposure to reinforcement learning and generative AI models.
• Strong analytical and problem-solving skills that translate well in a fast-paced setting.
• Well-developed communication and presentation abilities, allowing you to clarify complex technical concepts to non-technical stakeholders.

Soft Skills

In addition to technical qualifications, QAD values certain soft skills that align with their company culture:

• Strong collaboration skills, particularly within cross-functional teams.
• A creative mindset and ownership-driven approach.
• Analytical thinking capabilities with a focus on creating effective solutions.
• Excellent time management and organizational skills.
• Fluency in the English language, essential for effective communication.

About QAD, Inc.

Founded to address the demands of a rapidly changing manufacturing landscape, QAD, Inc. provides adaptive, cloud-based enterprise solutions tailored specifically for global manufacturing organizations. As global markets face disruption from technological advances and changing consumer behaviors, QAD solutions enable manufacturers to adapt and innovate swiftly. Key sectors served include automotive, life sciences, packaging, consumer products, high tech, and industrial manufacturing.

Company Culture and Values

QAD is committed to creating a workplace environment that embraces diversity, equity, and inclusion. Their DEI program aims to foster a culture where all employees feel valued and can bring their complete selves to work. They maintain a stance of equal opportunity in their hiring practices, ensuring no discrimination based on race, color, gender, age, or other protected statuses.

Conclusion

In summary, this position as a Data Scientist at QAD represents an exciting chance for candidates with a background in data science and AI/ML. The combination of innovation-driven responsibilities, supportive company culture, and the opportunity to work remotely makes this role appealing to many job seekers. If you possess the requisite skills and passion for technology, this could be your chance to contribute to impactful projects in the manufacturing realm, positioning yourself at the forefront of the industry’s evolution.

This job offer was originally published on jobicy.com