At a Glance
- Tasks: Build ontologies and knowledge graphs to empower AI agents in understanding software.
- Company: IFS, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Other info: Exciting projects with potential for rapid career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in AI, knowledge graphs, and strong problem-solving skills.
The predicted salary is between 80100 - 97900 £ per year.
IFS is looking for engineers to build an ontology, knowledge graph and grounding infrastructure that enable AI agents to understand IFS software and reason over customer data.
You will design MCP servers over business objects, develop the write path for safe data changes by agents, and craft a semantic layer generated from the platform and domain experts.
You will also implement retrieval/grounding, data provenance, and a routing/skills system to drive correct actions.
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AI Knowledge Engineer: Ontologies, KG & RAG employer: IFS
IFS is an exceptional employer that fosters a dynamic work culture where innovation thrives. With a focus on employee growth, we offer extensive opportunities for professional development and a competitive salary package, including flexible paid time off and comprehensive health insurance. Join us in a collaborative environment where your contributions directly impact enterprise customers and the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Knowledge Engineer: Ontologies, KG & RAG
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IFS.
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We think you need these skills to ace AI Knowledge Engineer: Ontologies, KG & RAG
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at IFS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IFS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IFS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IFS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
