This entry-level Machine Learning Engineer role is perfect for those looking to kickstart their career in AI. You'll work closely with a team to implement AI technologies and support the development of innovative solutions.
As an entry-level Machine Learning Engineer at iSanqa, you will join a dynamic Data Science and Engineering team within a global IT Hub. Your primary focus will be on implementing AI pilot use cases and integrating enterprise data with Large Language Models (LLMs). This role is ideal for someone eager to learn and grow in the AI field while contributing to meaningful projects that scale solutions across the business.
In your day-to-day work, you will be responsible for applying your machine learning knowledge and Python programming skills to build, test, and integrate generative AI capabilities. You will work under direct supervision, allowing you to gain hands-on experience in AI testing and development. Your tasks will include designing test plans to measure AI output quality, latency, relevance, and identifying any hallucinations in the models.
Key responsibilities include: • Implementing AI pilot use cases • Connecting enterprise data to LLMs • Supporting AI agent development • Collaborating with domain IT squads to scale solutions
To succeed in this role, you should have a solid foundation in Python programming and Git version control. Familiarity with machine learning concepts is essential, while experience with LLMs and prompt engineering will be advantageous. This position is perfect for recent graduates or those looking to transition into the AI field, providing a great opportunity to develop your skills in a supportive environment.
You'll be taken to the original listing on PNet to apply.