Data Scientist
Data Scientist
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1 Vacancy
Job Description
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 crossfunctional 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 organizations 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 fully remote role from France with openness to travel to the office from time to time.
What will you do:
Develop finetune and optimize Large Language Models (LLMs) and RetrievalAugmented Generation (RAG) systems.
Implement AI Agents capable of decisionmaking 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 knowledgesharing initiatives.
Qualifications :
Required Qualifications:
Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field.
3 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 finetuning and retrievalbased 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.
Handson experience with MLOps model monitoring and performance tuning.
Exposure to reinforcement learning and generative AI models.
Strong analytical and problemsolving skills with the ability to work in a fastpaced environment.
Strong communication and presentation skills with the ability to explain technical concepts to nontechnical audiences.
Soft skills:
Good collaboration skills at all levels with crossfunctional 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
Additional Information :
About QAD:
QAD Inc. is a leading provider of adaptive cloudbased enterprise software and services for global manufacturing companies. Global manufacturers face everincreasing disruption caused by technologydriven 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 solutions help customers in the automotive life sciences packaging consumer products food and beverage high tech and industrial manufacturing industries rapidly adapt to change and innovate 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. QADs DEI program is driving higher levels 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 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.
#LIRemote
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Product Management
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
