Machine Learning Engineer

H&R Block is a company dedicated to providing help and inspiring confidence in clients and communities. They are seeking a Machine Learning Engineer responsible for designing, developing, and deploying machine learning models to solve real-world business challenges.

Responsibilities:

• Model Development: Design, build, and deploy machine learning models—including generative AI models—to address complex business problems
• Data Collaboration: Work with teammates to preprocess, clean, and analyze structured and unstructured data for use in ML pipelines
• Performance Optimization: Tune and optimize models for accuracy, efficiency, and scalability in production environments
• Integration Support: Collaborate with MLOps Engineers to ensure smooth deployment, monitoring, and maintenance of ML models
• Continuous Learning: Stay informed on the latest advancements in machine learning, deep learning, and generative AI technologies, and apply them where appropriate
• Team Collaboration: Contribute to a collaborative engineering culture by sharing knowledge, participating in code reviews, and supporting team initiatives

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)
• 3 years total experience
• Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, and spaCy
• Proficiency in Python and familiarity with ML development workflows
• Strong analytical and problem-solving skills with attention to detail
• Effective communication and collaboration skills in a team-oriented environment
• Experience with generative AI is a plus
• Master's or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)
• Hands-on experience with building and deploying Machine Learning models for real time inference