About Hype Invention

Join our Digital Transformation Agency! We operate in the UK, Australia, Sri Lanka, and Malaysia, serving clients across industries like tech, facilities management, process automation, and finance. Our expertise spans digital marketing, AI development, AI as a service (AIaaS), and software development/SaaS solutions. As part of our team, you'll have the opportunity to broaden your skills and work on innovative projects that shape the future of digital transformation. Collaborate with extraordinary people, gain exposure to cutting-edge technologies, and enjoy benefits and development opportunities that will empower you both in and out of the office. If you're passionate about marketing, technology, and innovation, we’d love to hear from you!

Responsibilities:

• Develop and implement advanced machine learning models to drive predictive analytics for diverse business strategies.
• Design and build robust prediction models to forecast trends and optimize outcomes across various sectors.
• Create and maintain dynamic, interactive dashboards and reports using Power BI, Looker Studio, and other BI tools to visualize key metrics and KPIs.
• Integrate and process large datasets from various sources, ensuring seamless data integration for model training, evaluation, and dashboard creation.
• Utilize Python and SQL to develop, test, and deploy machine learning algorithms and models.
• Apply Natural Language Processing (NLP) and text analytics techniques to extract insights from unstructured data, including leveraging large language models (LLMs) for advanced text analysis.
• Work with AI platforms, such as the OpenAI API, to fine-tune models, create data vector stores, and perform prompt engineering.
• Collaborate with cross-functional teams to deliver actionable insights and recommendations based on predictive modeling.
• Continuously evaluate and refine models to improve their accuracy, scalability, and relevance to business needs.
• Monitor, evaluate, and enhance the performance of dashboards and reports to ensure they meet business requirements.
• Engage in hands-on projects, applying cutting-edge technologies and methodologies to solve complex data challenges.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field.
• Minimum 1 years of experience in machine learning, predictive modeling, or a closely related area, with a strong portfolio of hands-on project experience.
• Proficiency in Python and SQL, with a focus on developing machine learning algorithms and integrating data from diverse sources.
• Experience with data visualization, particularly using Power BI, Looker Studio, Tableau, or other BI platforms.
• Experience with NLP, text analytics, and working with large language models (LLMs).
• Experience with AI platforms, such as the OpenAI API, including fine-tuning models, creating data vector stores, and prompt engineering.
• Strong problem-solving skills and the ability to work with complex datasets to extract meaningful insights.
• Excellent communication skills, with the ability to translate technical concepts into actionable business strategies.
• Experience in deploying models into production environments and working with cloud-based data platforms is a plus.
• Familiarity with big data technologies and frameworks such as Hadoop, Spark, or similar is advantageous.