Unlock your potential with a prestigious opportunity alongside an award-winning, data-driven industry leader! A highly motivated AI Engineer is required to transform data into actionable insights. Our team is passionate about harnessing the power of artificial intelligence to drive business growth and create meaningful impact across various sectors.

Rocking the latest tools you will be responsible for designing, developing, and deploying AI-driven solutions to enhance our data analytics capabilities, optimize business processes, and support decision-making. This role offers an opportunity to work on challenging AI projects, collaborate with top industry experts, and shape the future of AI within our organization.

What you’ll be doing;

• Design, develop, and implement AI and machine learning models for data-driven applications.
• Work with large-scale datasets to build and improve predictive models.
• Build AI solutions that solve real problems. You will design and develop practical AI applications using LLMs. You will create feedback loops and human oversight processes that ensure our solutions stay accurate and valuable over time.
• Optimize and fine-tune algorithms for performance, scalability, and accuracy.
• Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
• Stay up to date with the latest advancements in AI, deep learning, and machine learning technologies.
• Develop and maintain robust data pipelines and infrastructure to support AI applications.
• Ensure model explainability, interpretability, and compliance with ethical AI practices.
• Conduct research and experiment with new methodologies to drive innovation.

To Succeed in the role you will have:

• 3+ years of experience in AI engineering, machine learning, or a similar role.
• Proficiency in programming languages such as Python, R, or Java.
• A genuine enthusiasm for LLM technology with proven experience working across multiple models.
• Strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) for deploying AI solutions.
• Deep understanding of machine learning algorithms, deep learning architectures, and natural language processing (NLP).
• Experience working with big data technologies such as Spark, Hadoop, or distributed computing frameworks.
• Solid knowledge of data structures, algorithms, and software development best practices.
• Strong problem-solving skills and the ability to work in a fast-paced environment.