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Our client, a top National Software house focused on the continuous design and development of new prototypes and products is looking for a Data Scientist/ Machine Learning Engineer to join their team.A tertiary degree in a mathematics-based field like Engineering, Computer Science, Software Engineering, Actuarial ScienceBasic experience in programming focused on extracting, transforming and analysing data Collaborating with cross-functional teams to identify and define data-driven solutions to problems in various sectorsCleverly extracting meaningful insights from our large lakes of data Proving or disproving product hypotheses by analysing data and relationships between data engineering foundational LLM prompts to enable these models to achieve business goals Developing custom machine learning models to enhance existing products and/or enable the development of entirely new products.
data-driven solutions to healthcare problems which have the potential to transform industry standardsand mechanisms to access the data using predominantly Python, clean and standardized dataDesigning and building data pipelines to support new products Becoming an expert at prompt engineering to create LLM-based products for our clients and creating AI agents to perform repetitive tasksDeveloping and deploying machine learning models to enhance existing products or enable new product developmentStaying up to date with the latest advancements in data science and machine learning, and exploring ways to apply them If you are a curious, creative and innovative person who strives to provide measurable value in an industry where you can make a real difference then this is where you’ll have that opportunity. As Specialist Recruiters for professionals in your industry, we are well geared to represent your best career interests. Whether you are an active job seeker or just browsing, let’s have a no stress conversation about your next career move! It’s always good to have a great recruiter looking out for you!Please note if you have not received feedback within two weeks, please consider your application unsuccessful for this particular opportunity.
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