Junior AI/ML Engineer

2h ago

⚠️ Before applying, please carefully review all the job requirements

Job Overview

This listing is for a Junior AI/ML Engineer position. According to the listing, this is a remote full-time position. The listing places its emphasis on Python, Artificial Intelligence and LLMs. The listing is aimed at the following profile: 1-2 years. For general context: Artificial intelligence is increasingly part of everyday software products. Large language models power many of today's AI assistants. Interested candidates can review the full details below and apply using the link provided on this page.

★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.
★ LLMs: Understanding how large language models generate text from prompts, and why their output still needs to be checked.

★ Python: core data structures, functions and modules, virtual environments and pip
★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias
★ LLMs: prompting basics, context limits and hallucinations, using an LLM API

This role may be suitable for candidates who have some early professional or project experience and want to keep building their skills. Applicants with working knowledge of Python, Artificial Intelligence and LLMs may feel well prepared for what the listing describes. A remote arrangement may suit people who work well independently and communicate clearly in writing. This is editorial guidance only, and the employer makes the final decision on suitability.

Applicants may want to highlight relevant experience with Python, Artificial Intelligence and LLMs in their CV. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. If you have limited work history, academic projects, personal builds, and open-source contributions can demonstrate practical ability. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. These are general tips, not requirements stated by the employer.

These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
Q: How do lists, tuples, sets, and dictionaries differ in Python, and when would you use each?
Q: Where could AI add value to a typical web application, and what risks should you plan for?
Q: How would you explain what a large language model is, and where can its answers be unreliable?
Q: How do decorators and generators work in Python?
Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
Q: How would you design a prompt and validate the output when using an LLM inside an application?
Q: How do you stay organised and communicate clearly when working remotely?
Q: What are you hoping to learn in this role, and how have you prepared so far?

Ideal Candidates Fill the Job Form: Apply Here