Data Scientist

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Company Overview

QAD, Inc. is a leading provider of adaptive, cloud-based enterprise software and services designed specifically for global manufacturing companies. They focus on solving real-world challenges posed by technology evolution and shifting consumer preferences. The company operates under a virtual-first model, which allows its employees to work from home with occasional office travel to improve collaboration and team dynamics.

Job Title

The position being offered is for a Data Scientist.

Job Description

In this role, you will be tasked with working on advanced AI and Machine Learning (ML) models, specializing in technologies such as Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and prompt engineering. You will be a vital part of the Engineering team, collaborating with members from the US and Europe. The objectives include:

• Developing, fine-tuning, and optimizing LLMs and RAG systems.
• Implementing interactive learning capabilities through AI Agents.
• Conducting research to enhance model performance utilizing various prompt engineering techniques.
• Constructing and maintaining machine learning pipelines suitable for production settings.
• Analyzing model outputs to refine and improve algorithms.

The Engineering team plays an essential role in the design, development, and deployment of QAD's core products, ensuring operational efficiency. By focusing on continuous integration and delivery (CI/CD), the team collaborates broadly with stakeholders during the product lifecycle, thereby ensuring that products meet key business requirements.

Required Qualifications

Educational Background

Candidates are required to hold a Bachelor’s or Master’s degree in fields such as Computer Science, Data Science, or Machine Learning.

Experience

To qualify for this role, candidates should have:

• A minimum of 1 year of professional experience in a relevant field.
• Strong programming skills in Python and familiarity with libraries like TensorFlow, PyTorch, LangChain, and Hugging Face Transformers.
• Experience with Natural Language Processing (NLP), LLM fine-tuning, and knowledge of prompt engineering techniques.
• Fundamentals in traditional and modern machine learning algorithms, specifically deep learning architectures.

Additional Skills

• Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML deployments.
• A basic understanding of data engineering and ETL pipelines.

Preferred Qualifications

While not mandatory, it is preferred for candidates to have:

• Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone).
• Hands-on experience in MLOps and system performance tuning.
• Exposure to reinforcement learning and generative AI models.
• Strong analytical and problem-solving skills as well as excellent communication skills to convey technical concepts.

Soft Skills

QAD emphasizes the importance of soft skills in their work environment. Candidates should possess traits such as:

• Excellent collaboration skills at all levels with cross-functional teams.
• Creativity and the ability to think outside the box.
• Proficiency in time management and organizational abilities.
• Strong command of the English language.

Working Environment

The job offers a fully remote opportunity from Spain, promoting flexibility and work-life balance in a company committed to fostering an inclusive culture. QAD’s Diversity, Equity, and Inclusion (DEI) program encourages a workplace environment where all employees can thrive regardless of their background.

Salary Information

Though specific salary details are not provided in the job listing, working for a leading company in the enterprise software industry typically implies a competitive salary structure. Job seekers should prepare for salary negotiations based on their qualifications, experience, and the industry standards.

Conclusion

This opportunity presents a unique chance for professionals looking to dive into advanced AI/ML projects within an innovative SaaS company focused on addressing real-world challenges in manufacturing and supply chains. As a Data Scientist at QAD, you will not only contribute to cutting-edge technology but also enjoy the benefits associated with remote work and a supportive company culture.

This job offer was originally published on jobicy.com