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# Al Data Scientist

- **Company:** SFE PARTNERS LLC
- **Location:** Edison, NJ, United States
- **Experience:** Starter
- **Salary:** $85,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Data Structures, Software Debugging, JSON, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Unstructured Data, Extensible Markup Language (XML), Data Processing, Google Cloud, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Git, Kubernetes, Enterprise Integration, Restful APIs, Software Version Control, Docker, Microservices
- **Published:** October 11, 2026
- **Apply:** https://www.careerjet.com/jobad/usac01de2cc1b173e5b98269acc141cd0d

## About the Role

Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
Key Words to should be in Resume
Python, SQL, REST APIs, Data Structures & Algorithms, AWS/AZURE/GCP, Docker, Kubernetes, CI/CD, Generative AI/LLM,
RAG (Retrieval-Augmented Generation)