Machine Learning Engineer Job In Munster

We are seeking a highly skilled Machine Learning Engineer to develop and deploy advanced machine learning algorithms and models. **Machine Learning Engineer** Tralee-based company is looking for a talented Machine Learning Engineer to join their Innovation and Fin Tech Lab Development Team. **Responsibilities:** • Design, build, and optimize machine learning models and algorithms to tackle complex business problems, utilizing techniques like supervised and unsupervised learning, deep learning, and reinforcement learning. • Clean, preprocess, and transform raw data to ensure suitability for training and testing machine learning models, maintaining data quality and integrity. • Extract and engineer relevant features from data to enhance predictive power and generalization of machine learning models. • Conduct thorough experimentation and evaluation of various machine learning models to identify best-performing solutions, iterating on the models as needed. • Optimize and fine-tune machine learning models to achieve optimal accuracy, efficiency, and scalability for production deployment. • Create insightful visualizations of model outputs and data trends to facilitate better understanding and decision-making processes. • Collaborate with software engineers and Dev Ops teams to ensure smooth deployment of machine learning models into production environments, ensuring seamless integration and reliability. • Monitor the performance of deployed models, address issues, and update models as necessary to maintain accuracy and relevance. • Explore and implement state-of-the-art techniques to enhance products and services. **Requirements:** • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or a related field. • Proven experience as a Machine Learning Engineer, Data Scientist, or in a related role. • Proficiency in programming languages such as Python, R, or Java for implementing machine learning algorithms and data manipulation. • Strong understanding of machine learning concepts, frameworks, and libraries. • Familiarity with data visualization tools and techniques. • Experience with big data technologies and distributed computing is a plus. • Solid knowledge of statistics and probability theory. • Excellent problem-solving and analytical skills. • Strong communication and teamwork abilities.