Machine Learning Engineer

H&R Block•Remote, MO

1d•$91,000 - $145,600

About The Position

The Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to solve real-world business challenges. This role focuses on hands-on model development, data preparation, and integration of ML solutions into production systems. The ideal candidate is a strong collaborator who works closely with fellow Machine Learning Engineers, MLOps Engineers, and cross-functional teams to deliver scalable and impactful AI solutions, including generative AI models.

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.

Nice To Haves

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.

Responsibilities

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