UsefulBI Corporation - Machine Learning Engineer - Pattern Recognition & Neural Networks

As a Machine Learning Expertise, you will be responsible for developing and implementing machine learning algorithms for tasks such as pattern recognition, classification, and prediction. Your role will involve designing and building robust neural network architectures for various applications. Utilizing statistical methodologies to analyze data, optimize model performance, and ensure model interpretability will be a key aspect of your responsibilities. It will also be essential to stay up-to-date on the latest advancements in machine learning research and explore new techniques to enhance our AI capabilities. In the domain of Software Development & Tools, you should demonstrate proficiency in the Python programming language and be familiar with machine learning libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with SQL for data access and manipulation to support model development is required. Additionally, utilizing cloud platforms and tools for efficient model training, deployment, and management would be considered advantageous. Your role will also involve Data Analysis & Modeling, where you will collaborate with data scientists and engineers to understand business needs and translate them into technical requirements for AI models. Tasks such as cleaning, pre-processing, and preparing data for machine learning will be part of your routine. Evaluating and interpreting the performance of machine learning models, along with making adjustments for continuous improvement, will be crucial. In terms of Technical Skills & Background, having a strong foundation in computer science principles and algorithms is essential. You should have proven experience in applying statistical methods for data analysis and model optimization. To be considered for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A minimum of 5 years of experience in machine learning engineering or a relevant field is required. Expertise in pattern recognition and neural network architectures, proficiency in Python, SQL, and machine learning tools, as well as strong analytical and problem-solving skills are prerequisites. Excellent communication and collaboration skills are highly valued, and experience in the AI/ML industry is a plus, though not mandatory.,